// Creates, edits, and manages Power Pages Server Logic files — server-side JavaScript that runs securely on the Power Pages runtime. Orchestrates the full lifecycle: gathering requirements, fetching documentation, implementing code, configuring site settings, and deploying. Use when the user wants to add server-side code, create API endpoints, or move logic from the browser to the server in their Power Pages site.
Creates, edits, and manages Power Pages Server Logic files — server-side JavaScript that runs securely on the Power Pages runtime. Orchestrates the full lifecycle: gathering requirements, fetching documentation, implementing code, configuring site settings, and deploying. Use when the user wants to add server-side code, create API endpoints, or move logic from the browser to the server in their Power Pages site.
Plugin check: Run node "${CLAUDE_PLUGIN_ROOT}/scripts/check-version.js" — if it outputs a message, show it to the user before proceeding.
Add Server Logic
Create and manage one or more Power Pages Server Logic files — server-side JavaScript that runs securely on the Power Pages runtime, hidden from the browser and protected by web roles and table permissions. Server Logic enables secure external API integrations, Dataverse operations, and custom business logic without exposing sensitive code or credentials to the client.
Core Principles
Microsoft Learn is the source of truth: Always fetch the latest documentation before writing code. The Server Logic feature is in preview and the SDK may change — never rely on cached knowledge alone.
No browser APIs, no dependencies: Server Logic runs in a sandboxed server environment with ECMAScript 2023 support. There is no fetch, XMLHttpRequest, setTimeout, or any DOM API. No npm packages are available.
Five functions only: A server logic file can only export these top-level functions: get, post, put, patch, del. The name delete is a reserved word in JavaScript and cannot be used.
Always return a string: Every function must return a string. Use JSON.stringify() when returning objects or arrays.
Use TaskCreate/TaskUpdate: Track all progress throughout all phases — create the todo list upfront with all phases before starting any work.
Prerequisites:
An existing Power Pages code site created
The site must be deployed at least once (.powerpages-site folder must exist) — server logic files live inside .powerpages-site/server-logic/, so deployment is required before any server logic can be created
Initial request: $ARGUMENTS
Workflow
Verify Site Exists — Locate the Power Pages project, explore existing patterns, and verify prerequisites
Understand Requirements — Determine the user intent and whether the solution needs one or more server logic files
Fetch Latest Documentation — Query Microsoft Learn for the most current Server Logic SDK reference
Review Implementation Plan — Present the plan to the user and confirm before writing code
Implement Server Logic — Create the approved .js and .serverlogic.yml files in .powerpages-site/server-logic/<name>/
Configure Table Permissions — (Conditional: only if Server.Connector.Dataverse is used) Set up table permissions for Dataverse tables accessed by the server logic
Manage Secrets & Environment Variables — (Conditional: only if the server logic requires secrets) Store sensitive values securely using Azure Key Vault (recommended) or direct environment variables in Dataverse
Configure Site Settings — Set up ServerLogic site settings if needed
Client-Side Integration — Help wire the server logic into the site's frontend code
Verify & Test Guidance — Validate the code and provide testing instructions
Review & Deploy — Present summary and offer deployment
Phase 1: Verify Site Exists
Goal: Locate the Power Pages project root and confirm prerequisites
Look for powerpages.config.json in the current directory or immediate subdirectories
If not found: Tell the user to create a site first with /create-site.
1.2 Read Existing Config
Read powerpages.config.json to get the site name and configuration:
1.3 Detect Framework
Read package.json to determine the frontend framework (React, Vue, Angular, or Astro). This is needed for Phase 8 (client-side integration guidance). See ${CLAUDE_PLUGIN_ROOT}/references/framework-conventions.md for the full framework detection mapping.
1.4 Explore Existing Server Logic and Frontend Code
Use the Explore agent (via Task tool with agent_type: "explore") to analyze the site for existing server logic patterns and frontend code that may call or need to call server logic endpoints.
Prompt for the Explore agent:
"Analyze this Power Pages code site for server logic context. Check:
Does .powerpages-site/server-logic/ exist? If yes, list all subdirectories and their .js files. Summarize what each server logic does (which functions it implements, what SDK features it uses). Also read the corresponding .serverlogic.yml files to check web role assignments.
Search the frontend source code (src/**/*.{ts,tsx,js,jsx,vue,astro}) for any existing calls to /_api/serverlogics/ — these indicate server logic endpoints already being consumed.
Look for CSRF token handling patterns (__RequestVerificationToken, _layout/tokenhtml) — these show how the site currently makes authenticated API calls.
Check for any TODO/FIXME comments mentioning server logic, backend, or server-side processing.
Look for hardcoded API URLs, mock data, or placeholder fetch calls that might need to be replaced with server logic calls.
Check for any existing service layer or API utility files in src/shared/, src/services/, or similar directories that could be reused for server logic integration.
Read .powerpages-site/web-roles/*.webrole.yml files to list available web roles and their GUIDs — these are needed when creating the server logic metadata YAML.
For each existing server logic, assess whether it can be reused or safely extended for the requested capability instead of creating a brand-new server logic file. Call out any strong reuse candidates and explain why.
Report all findings so we can avoid duplicating work and match existing patterns."
From the Explore agent's findings, note:
Existing server logic files — what's already implemented, and which ones are candidates for reuse or extension
Frontend calling patterns — how the site makes API calls (match this pattern in Phase 9)
Existing service/utility files — reuse these when adding client-side integration
Gaps — frontend code that references server logic endpoints that don't exist yet
1.5 Check Deployment Status (Mandatory)
Look for the .powerpages-site folder:
If not found: The site must be deployed before server logic can be created — server logic files live inside .powerpages-site/server-logic/. Tell the user:
"The .powerpages-site folder was not found. Server logic files are stored inside this folder, so the site must be deployed at least once before creating server logic. Would you like to deploy now?"
Use AskUserQuestion:
Question
Options
The .powerpages-site folder is required for server logic. Would you like to deploy the site now?
Yes, deploy now (Required), Cancel
If "Yes, deploy now": Invoke /deploy-site first, then continue to Phase 2.
If "Cancel": Stop the workflow — server logic cannot be created without .powerpages-site.
Output: Confirmed project root, .powerpages-site exists, existing server logic (if any), available web roles
Phase 2: Understand Requirements
Goal: Determine the user intent, identify whether one or more server logic files are needed, and capture the required HTTP methods for each item
Actions:
2.1 Analyze User Request
From the user's request, determine:
Intent shape: Does the request map to a single server logic or multiple server logic?
Reuse opportunities: Can an existing server logic satisfy or be safely extended for part of the request?
Server logic inventory: For each required server logic, capture the purpose, suggested endpoint name, and whether it should be reused, extended, or created new
HTTP methods needed: Which of the 5 functions should be implemented for each server logic (get, post, put, patch, del)
Prefer reuse or safe extension of an existing server logic when it already matches the domain, security model, and lifecycle of the requested capability. Only create a new server logic when reuse would make the existing file confusing, over-broad, or unsafe.
Prefer multiple server logic files when the use case naturally separates into different responsibilities, security boundaries, or lifecycle concerns. Examples:
Separate read vs. write workflows with different web role requirements
Distinct integrations with different external systems or site settings
Independent business capabilities that would be harder to test or reason about if merged into one endpoint
2.1.1 Identify Validate-and-Execute Patterns
For each planned server logic item, determine whether it should validate-and-execute — meaning the server logic both validates a business rule AND performs the resulting Dataverse write, rather than just returning a validation result for the client to act on.
A server logic item should validate-and-execute when any of these are true:
Condition
Example
It enforces a state machine or lifecycle
Order status: Draft → Submitted → Approved
The write is conditional on a business rule that must be tamper-proof
"Only allow bid submission before the deadline"
The operation spans multiple tables atomically
Award a bid + reject all others + update event status
The write involves a computed or derived value
Server calculates a score and writes it
The client should not have direct write access to the field
Status fields with strict transition rules
For each validate-and-execute item, note:
Which Dataverse writes the server logic will perform (UpdateRecord, CreateRecord, etc.)
Which fields are being written — these fields should NOT be writable via Web API from the client
What the server logic returns to the client — typically a success/failure result with the before/after state, NOT a validation flag that the client acts on
Anti-pattern to avoid: A server logic item that only validates and returns { valid: true/false }, expecting the client to make a separate Web API call to perform the write. This allows the client to skip validation and write directly.
2.1.2 Discover Dataverse Custom Actions
If any planned server logic item involves Dataverse operations, check whether the user's Dataverse environment has existing custom actions (Custom APIs or Custom Process Actions) that could be leveraged instead of building logic from scratch.
customApis — Modern Custom APIs with full request parameters and response properties
customProcessActions — Legacy Custom Process Actions (activated only)
total — Total count of both types combined
Each entry includes: name, displayName, description, type (action or function), binding (unbound, entity, or entityCollection), boundEntity, and source (customApi or customProcessAction). Custom APIs also include requestParameters and responseProperties arrays.
Step 2 — Present and ask the user:
If custom actions are found (total > 0), present a summary to the user grouped by binding type (unbound vs. entity-bound) and ask whether any should be used:
Use AskUserQuestion:
Question
Options
Your Dataverse environment has <total> custom action(s). Would you like to use any of these in your server logic instead of writing the logic from scratch?
Yes, let me choose which ones to use; No, build everything from scratch
Present the list clearly — for each action show: name, description, type (action/function), binding, and bound entity (if applicable). Group them as Unbound and Entity-bound for readability.
If the user says No, skip to Phase 2.2.
Step 3 — Map custom actions to server logic items:
If the user says Yes, for each server logic item being created, ask which custom action (if any) it should wrap:
Use AskUserQuestion for each server logic item:
Question
Context
For the <server-logic-name> endpoint, which custom action should it use?
Present the list of custom actions with their names, descriptions, and binding types. Include "None — build from scratch" as an option.
Record the mapping for each server logic item. For items that wrap a custom action, note:
The custom action name (used in the InvokeCustomApi call)
Whether it's a function (GET) or action (POST)
The binding type and bound entity (if applicable)
The request parameters and response properties (if available from Custom APIs)
This mapping will be used in Phase 5.3 when generating the server logic code, and will appear in the HTML plan (Phase 4) to indicate which items wrap existing custom actions.
2.2 Identify SDK Features Needed
Based on each planned server logic item's purpose, identify which Server SDK features are required:
Feature
When to use
Server.Connector.HttpClient
Calling external REST APIs (NOT Dataverse)
Server.Connector.Dataverse
Reading/writing Dataverse records (CRUD + InvokeCustomApi for Dataverse Custom APIs)
Server.Context
Accessing request parameters, headers, body
Server.User
User-scoped operations, role checks
Server.Logger
Always — every function should log entry/exit and errors
Server.Sitesetting
Reading site setting configuration values
Server.EnvironmentVariable
Reading Dataverse environment variable values directly via Server.EnvironmentVariable.get(name) — an alternative to Server.Sitesetting for non-secret config
Server.Website
Accessing site metadata
2.3 Identify Secret Values
Determine whether any server logic item requires secret or sensitive configuration values that should not be hardcoded. Common examples:
Scenario
Secret needed
Calling an authenticated external API
API key, client secret, bearer token
Connecting to a third-party service
Connection string, access token
OAuth2 client credentials flow
Client ID + client secret
Webhook verification
Signing secret, shared key
For each identified secret, capture:
Secret name: A descriptive name (e.g., ExchangeRateApiKey, PaymentGatewaySecret)
Purpose: Why the secret is needed
Site setting name: The name the server logic will use with Server.Sitesetting.Get() (e.g., ExternalApi/ExchangeRateApiKey)
Environment variable schema name: The Dataverse environment variable schema name (e.g., cr5b4_ExchangeRateApiKey)
These values will be used in Phase 7 to create the environment variables and site settings.
2.3.1 Key Vault Decision
If secrets were identified in Phase 2.3, ask the user now whether they want to use Azure Key Vault. This decision must happen before Phase 4 so the implementation plan can show the chosen secret management approach.
Use AskUserQuestion:
Question
Options
This server logic requires secret values (e.g., API keys, client secrets). Azure Key Vault is the recommended way to store secrets securely. Would you like to use Azure Key Vault?
Yes, use Azure Key Vault (Recommended), No, store directly as environment variable
Record the user's choice — it will be shown in the HTML plan (Phase 4) and executed in Phase 7.
2.4 Confirm with User
If the requirements are ambiguous, use AskUserQuestion to clarify:
Question
Context
What should this server logic solution do overall?
If the purpose is unclear
Should this be one server logic or multiple server logic?
If the request could reasonably be modeled either way
Which HTTP methods does each server logic need?
If not specified — suggest based on the use case (e.g., read-only = GET, form processing = POST)
Does each server logic need to call external APIs, Dataverse, or both?
Determines which connectors to use
What should each server logic be named?
Suggest URL-friendly names based on the responsibilities
Does the server logic need any secret or sensitive values (API keys, client secrets, tokens)?
If the server logic calls authenticated external APIs or services
Output: Clear understanding of the overall intent, the list of server logic items to reuse/extend/create, their HTTP methods, SDK features needed, and any secrets required
Phase 3: Fetch Latest Documentation
Goal: Discover and read all current Server Logic documentation from Microsoft Learn before writing any code
This step is critical because Server Logic is a preview feature and the SDK surface may change. The documentation on Microsoft Learn is the authoritative source.
Actions:
3.1 Follow the Documentation Reference
Use the reference document below as the source of truth for how to discover, classify, fetch, and reconcile Server Logic documentation:
The number of server logic items being created or reused
Each endpoint name, API URL, and files to be created
The functions that will be implemented and what each one does
The SDK features, external services, and Dataverse tables involved for each item
The web roles, security constraints, and site settings that apply to each item
Any secrets or sensitive values that will be stored as environment variables (with or without Azure Key Vault). If the user chose Azure Key Vault in Phase 2.3.1, populate SECRETS_DATA with useKeyVault: true and the list of secrets — the HTML plan will render a Key Vault banner explaining the security benefits and show which secrets each server logic depends on. If no secrets are needed, set SECRETS_DATA to null.
The expected next steps after approval
4.2 Render the HTML Plan
Generate the HTML plan file from the template and open it in the user's default browser before asking for approval.
When working inside a Power Pages project, write the plan to:
<PROJECT_ROOT>/docs/serverlogic-plan.html
Create the docs/ folder if it does not already exist. Keep this HTML file inside the repository so it can be reviewed and committed with the rest of the server logic work.
Do not hand-author the HTML. Use the render script:
The render script refuses to overwrite existing files. Before calling it, check if the default output path (<PROJECT_ROOT>/docs/serverlogic-plan.html) already exists. If it does, choose a new descriptive filename based on context — e.g., serverlogic-plan-exchange-rate.html, serverlogic-plan-apr-2026.html. Pass the chosen name via --output.
4.3 Present Plan Summary
Do not present a second detailed plan in the CLI. The HTML file is the single detailed plan artifact.
In the CLI, give only a brief summary that points the user to the HTML plan open in the browser. Keep it to:
Total server logic count
Whether the plan is creating, updating, or reusing items
Whether web roles, table permissions, or site settings are involved
The actual output path returned by the render script
A note that the browser-opened HTML contains the full details
Do not restate the per-server-logic breakdown, rationale, role assignments, or function details inline in the CLI unless the user explicitly asks for a text version. Tell the user where the detailed HTML plan file was saved, that it has been opened in the browser for review, and that the repo copy of the plan will be committed with the implementation artifacts unless the user asks to discard it.
4.4 Confirm with User
Use AskUserQuestion:
Question
Options
Here's the implementation plan for this server logic work. Does it look correct?
Approve and implement (Recommended), Request changes, Cancel
If "Request changes": Ask what needs to change, update the plan, and present again.
If "Cancel": Stop the workflow.
Output: User-approved implementation plan
Phase 5: Implement Server Logic
Goal: Create each approved server logic .js file and metadata YAML following the constraints verified in Phase 3
Actions:
5.1 Create Server Logic Folder
For each approved server logic item:
If the approved plan says reuse: Do not create a new folder. Reuse the existing server logic as-is and only update the surrounding integration work if needed.
If the approved plan says update / extend: Reuse the existing folder and update the existing .js / .serverlogic.yml files rather than creating duplicates.
If the approved plan says create: Create the folder inside .powerpages-site/server-logic/ (note: singular server-logic, no trailing 's'). Ensure the folder name matches that endpoint name exactly.
5.2 Read or Create Web Roles
Use the Create Web Role skill to determine which web roles are required for the approved server logic plan and to create any missing roles before writing metadata.
Do not assume every server logic should get every available role. Instead, determine the minimum set of roles required for each server logic based on its purpose, security model, and the approved plan.
In the skill workflow, explicitly invoke the Create Web Role skill when:
The site has no suitable existing web roles
The approved plan includes proposed roles that do not exist yet
The role assignments need to be refined before metadata can be created
After the Create Web Role skill completes, read the resulting web role YAML files and collect the id and name values needed for each server logic's metadata YAML.
5.3 Create the Server Logic File
Repeat this step for each approved server logic item. Create or update <PROJECT_ROOT>/.powerpages-site/server-logic/<name>/<name>.js according to the approved plan status (create, update, or reuse) and follow these mandatory patterns:
Structure Rules
Only top-level functions: The file can only contain these 5 functions at the top level: get, post, put, patch, del. Only include the functions the user needs.
Each function returns a string: Use JSON.stringify() for objects/arrays.
Each function has try/catch: Every function must wrap its logic in a try/catch block.
Each function logs: Use Server.Logger.Log() at entry and Server.Logger.Error() in catch blocks.
No imports or requires: No import, require, or external dependencies.
No browser APIs: No fetch, XMLHttpRequest, setTimeout, setInterval, console.log, or DOM APIs.
Async when needed: Mark functions as async only when they use await (HttpClient calls). Dataverse connector methods (Server.Connector.Dataverse.*) are synchronous — do NOT use async/await with them.
Prohibited Script Patterns
The Power Pages server-side script validator rejects scripts containing certain patterns at runtime. Violations surface as RTSL01: Script validation failed: prohibited pattern found - Pattern: <regex> in diagnostics, and the function silently falls through without executing user code.
Pattern
Regex
Caveat
JavaScript with statement
with\s*\(
The regex matches the substring with(anywhere in the file — including inside string literals and inside other identifiers. OData filter functions like startswith(, endswith(, and groupwith( will trip it because they end with with(.
Workaround for OData functions — split the literal so with( is not contiguous in source:
// ❌ Triggers validator: "startswith(" contains the substring "with("var query = "$filter=startswith(name,'INV-')";
// ✅ Split the literal — server still receives "startswith(name,...)"var query = "$filter=startswith" + "(name,'INV-')";
The same trick applies to endswith(, groupwith(, and any other identifier that ends with with(.
Code Template
// Server Logic: <name>// Purpose: <description>// API URL: https://<site-url>/_api/serverlogics/<name>functionget() {
try {
Server.Logger.Log("<name> GET called");
// Access query parameters// const id = Server.Context.QueryParameters["id"];// Your logic here...returnJSON.stringify({
status: "success",
method: "GET",
data: null// replace with actual data
});
} catch (err) {
Server.Logger.Error("<name> GET failed: " + err.message);
returnJSON.stringify({
status: "error",
method: "GET",
message: err.message
});
}
}
Validate-and-Execute Template
When a server logic item is identified as validate-and-execute (see Phase 2.1.1), use this pattern. The key difference: the server logic reads the current state, validates the business rule, AND writes the result to Dataverse — all in one call. The client never writes the protected field directly.
// Server Logic: <name>// Purpose: Validate and execute <describe the operation>// Pattern: Validate-and-execute — this endpoint both validates the business rule// and performs the Dataverse write. The client should NOT write <protected fields>// via Web API — all writes to those fields go through this endpoint.// API URL: https://<site-url>/_api/serverlogics/<name>functionpost() {
try {
Server.Logger.Log("<name> POST called");
const body = JSON.parse(Server.Context.Body);
const entityId = body.entityId;
const targetStatus = body.targetStatus;
// 1. Read the current record from Dataverseconst current = Server.Connector.Dataverse.RetrieveRecord("<table-name>", entityId, "?$select=<status-field>");
const currentStatus = current["<status-field>"];
// 2. Validate the transitionconst allowedTransitions = {
"Draft": ["Submitted"],
"Submitted": ["Approved", "Rejected"],
"Approved": ["Fulfilled"]
};
const allowed = allowedTransitions[currentStatus] || [];
if (!allowed.includes(targetStatus)) {
returnJSON.stringify({
status: "error",
message: "Invalid transition: " + currentStatus + " → " + targetStatus + " is not allowed",
currentStatus: currentStatus,
targetStatus: targetStatus,
allowedTargets: allowed
});
}
// 3. Execute the write — server performs the Dataverse updateconst updateData = {};
updateData["<status-field>"] = targetStatus;
Server.Connector.Dataverse.UpdateRecord("<table-name>", entityId, JSON.stringify(updateData));
Server.Logger.Log("<name> transition executed: " + currentStatus + " → " + targetStatus);
// 4. Return the result — client receives confirmation, not a validation flagreturnJSON.stringify({
status: "success",
previousStatus: currentStatus,
newStatus: targetStatus,
entityId: entityId
});
} catch (err) {
Server.Logger.Error("<name> POST failed: " + err.message);
returnJSON.stringify({
status: "error",
message: err.message
});
}
}
Key differences from the basic template:
The server logic reads the current state from Dataverse (not trusting the client's view)
It validates the business rule server-side
It writes the result to Dataverse via Server.Connector.Dataverse.UpdateRecord
It returns a success/failure result — NOT a { valid: true/false } flag for the client to act on
The client calls this one endpoint — it does NOT make a separate Web API PATCH call
Custom Action Wrapping Template
When a server logic item wraps a Dataverse custom action (mapped in Phase 2.1.2), use this pattern with Server.Connector.Dataverse.InvokeCustomApi. The server logic acts as a portal-friendly wrapper, exposing the custom action through a /_api/serverlogics/<name> endpoint with proper web role authorization.
Unbound action:
// Server Logic: <name>// Purpose: Wraps Dataverse custom action "<custom-action-name>" for portal consumption// Custom Action: <custom-action-name> (unbound, action)// API URL: https://<site-url>/_api/serverlogics/<name>functionpost() {
try {
Server.Logger.Log("<name> POST called — invoking custom action <custom-action-name>");
const body = JSON.parse(Server.Context.Body);
// Build the request payload matching the custom action's input parametersconst payload = JSON.stringify({
// "<ParameterName>": body.<clientFieldName>
});
const result = Server.Connector.Dataverse.InvokeCustomApi(
"POST",
"<custom-action-name>",
payload
);
Server.Logger.Log("<name> custom action completed successfully");
returnJSON.stringify({
status: "success",
data: result
});
} catch (err) {
Server.Logger.Error("<name> POST failed: " + err.message);
returnJSON.stringify({
status: "error",
message: err.message
});
}
}
Entity-bound action:
functionpost() {
try {
Server.Logger.Log("<name> POST called — invoking bound action <custom-action-name>");
const body = JSON.parse(Server.Context.Body);
const entityId = body.entityId;
const payload = JSON.stringify({
// "<ParameterName>": body.<clientFieldName>
});
// Include the entity set and record ID, followed by the fully qualified action nameconst result = Server.Connector.Dataverse.InvokeCustomApi(
"POST",
"<entity-set-name>(" + entityId + ")/Microsoft.Dynamics.CRM.<custom-action-name>",
payload
);
Server.Logger.Log("<name> bound action completed for entity " + entityId);
returnJSON.stringify({
status: "success",
data: result,
entityId: entityId
});
} catch (err) {
Server.Logger.Error("<name> POST failed: " + err.message);
returnJSON.stringify({
status: "error",
message: err.message
});
}
}
Unbound function (read-only, GET):
functionget() {
try {
Server.Logger.Log("<name> GET called — invoking custom function <custom-function-name>");
// Pass parameters as query string for functionsconst param1 = Server.Context.QueryParameters["param1"];
const queryString = "<custom-function-name>(Param1='" + param1 + "')";
const result = Server.Connector.Dataverse.InvokeCustomApi(
"GET",
queryString,
null
);
Server.Logger.Log("<name> custom function completed successfully");
returnJSON.stringify({
status: "success",
data: result
});
} catch (err) {
Server.Logger.Error("<name> GET failed: " + err.message);
returnJSON.stringify({
status: "error",
message: err.message
});
}
}
Key points:
Unbound actions: Use the action name as the URL, pass parameters as JSON body
Entity-bound actions: Include the entity set and record ID in the URL path, followed by Microsoft.Dynamics.CRM.<action-name>
Functions (GET): Use "GET" as the HTTP method and pass parameters inline in the URL using OData function call syntax
Actions (POST): Use "POST" as the HTTP method and pass parameters as JSON body payload
InvokeCustomApi is synchronous — do NOT use async/await
The server logic can add additional validation, transformation, or logging around the custom action call — it doesn't have to be a pass-through
When Custom API response properties are known (from Phase 2.1.2), map them to the response object for clarity
Dataverse Response Shape (Critical for Frontend Integration)
When a function returns the result of a Server.Connector.Dataverse.* method, the client sees a double-wrapped payload — the most common cause of broken frontend integrations. Before writing the function, pick one of three response shapes and record the choice for Phase 9: Approach A — raw passthrough (return the connector result as-is), Approach B — envelope that wraps the connector result (return { status, data: result } without unwrapping Body), or Approach C — fully normalized (parse Body server-side and return a feature-specific shape — recommended for non-generic endpoints).
See ${CLAUDE_PLUGIN_ROOT}/skills/add-server-logic/references/frontend-integration-reference.md → "Dataverse Connector Response Format" for the double-wrapping explanation, the CreateRecord / entityid header behavior, and server- and client-side examples for each shape.
Referencing Secrets in Code
When the server logic needs a secret value identified in Phase 2.3, never hardcode the value. Instead, read it at runtime from a site setting backed by an environment variable:
Use the site setting name planned in Phase 2.3. The actual environment variable and site setting YAML will be created in Phase 7.
SDK Usage Guidance
Do not duplicate Microsoft Learn SDK usage patterns inline in this skill. Use the documentation fetched in Phase 3 as the source of truth for connector methods, signatures, and supported patterns, then apply only the task-specific notes that were captured in the approved plan.
5.4 Create the Metadata YAML
For each approved server logic item where the plan status is create, generate the metadata file with the deterministic writer script instead of hand-authoring the YAML. The script generates the UUID, writes the fields in the correct order, and returns the created file path as JSON. Skip this step for update / reuse items — the YAML already exists and should be updated manually if needed.
node "${CLAUDE_PLUGIN_ROOT}/skills/add-server-logic/scripts/create-serverlogic-metadata.js" --projectRoot "<PROJECT_ROOT>" --name "<name>" --displayName "<human-readable display name>" --description "<description of what this server logic does>" --webRoleIds "<uuid1,uuid2,uuid3>"
The generated <PROJECT_ROOT>/.powerpages-site/server-logic/<name>/<name>.serverlogic.yml file has this structure:
Goal: Set up table permissions for Dataverse tables accessed by Server.Connector.Dataverse in the server logic code
This phase only runs when the server logic uses Server.Connector.Dataverse. If the server logic only uses Server.Connector.HttpClient (external APIs) or doesn't access Dataverse at all, skip this phase entirely and proceed to Phase 7.
Server.Connector.Dataverse does NOT bypass table permissions — it respects them. Without table permissions configured, the Dataverse connector silently returns 0 records instead of the actual data. This is a common source of confusion.
Actions:
6.1 Detect Dataverse Tables and Required Privileges
Parse the server logic .js file created in Phase 5 to identify which Dataverse tables are accessed and what CRUD operations are performed:
Dataverse SDK Method
Required Table Permission
RetrieveMultipleRecords("tablename", ...)
Read
RetrieveRecord("tablename", ...)
Read
CreateRecord("tablename", ...)
Create
UpdateRecord("tablename", ...)
Write
DeleteRecord("tablename", ...)
Delete
Extract the entity set name (first argument) from each method call. Build a mapping:
Table (entity set name)
Read
Create
Write
Delete
accounts
Yes
—
—
—
contacts
Yes
Yes
—
—
6.2 Use the Table Permissions Architect
When any approved server logic item uses Server.Connector.Dataverse, invoke the table-permissions-architect agent at ${CLAUDE_PLUGIN_ROOT}/agents/table-permissions-architect.md to determine and create the required table permissions.
Prompt:
"Analyze this Power Pages code site and propose table permissions for Dataverse tables accessed by the approved server logic plan. The following tables need permissions:
[list each table with required CRUD privileges from step 6.1, grouped by server logic item]
Context:
These permissions are needed because the server logic uses Server.Connector.Dataverse, which respects table permissions — without them, the connector silently returns 0 records.
The scope should typically be Global for server logic that fetches all records, unless the server logic filters by the current user (in which case use Contact scope).
The web roles assigned to these server logic items are: [list web role names and GUIDs from Phase 5.2]
Project root: [path]
Check for existing table permissions and web roles. If new web roles are needed, create them using the create-web-role.js script. Propose a plan, then after approval create the table permission YAML files using the deterministic scripts."
The agent will:
Discover existing table permissions and web roles
Create any missing web roles via create-web-role.js if needed
Propose a table permissions plan (with HTML visualization)
Present the plan via plan mode for user approval
After approval, create table permission YAML files in .powerpages-site/table-permissions/ using create-table-permission.js
6.3 Git Commit
After table permissions (and any new web roles) are created, do a git commit for the table permissions changes.
Output: Table permissions (and web roles if created) configured for all Dataverse tables accessed by the server logic
Phase 7: Manage Secrets & Environment Variables
Goal: Securely store any secret values (API keys, client secrets, connection strings) required by the server logic as environment variables in Dataverse, optionally backed by Azure Key Vault
This phase only runs when the server logic requires secret or sensitive configuration values (identified in Phase 2.3). If no secrets are needed, skip this phase and proceed to Phase 8.
Actions:
7.1 Recall Key Vault Decision
The user already chose whether to use Azure Key Vault in Phase 2.3.1 (before the plan was presented). Use that decision here — do not re-ask.
The script outputs a JSON array of Key Vaults (name, resourceGroup, location) from the user's Azure subscription.
Step 2 — Select or create a Key Vault:
If Key Vaults were found, present the list and ask which one to use:
Use AskUserQuestion:
Question
Context
Which Azure Key Vault would you like to use for storing secrets?
Present the names from the script output
If no Key Vaults are found, ask the user how to proceed:
Use AskUserQuestion:
Question
Options
No Azure Key Vaults were found in your subscription. Would you like to create one, or fall back to storing secrets directly as environment variables?
Create a new Key Vault (Recommended), Store directly as environment variable
If "Create a new Key Vault": Ask for a vault name, resource group, and location, then create it:
Use AskUserQuestion:
Question
Context
What name, resource group, and Azure region would you like for the new Key Vault?
Vault names must be 3-24 characters, globally unique, start with a letter, and contain only alphanumerics and hyphens. Suggest a name based on the project/site name.
The script outputs a JSON object with name, resourceGroup, and location. Use the created vault for the remaining steps.
If "Store directly as environment variable": Skip the rest of Phase 7.2a and proceed to Phase 7.2b (direct environment variable path).
Step 3 — Provide instructions for storing each secret in Key Vault:
For each secret identified in Phase 2.3, give the user instructions to store the value themselves. Do not ask for the secret value — secret values must never pass through the conversation.
Present both methods (CLI and Azure Portal) so the user can choose whichever they prefer:
Option A — Azure CLI (recommended for automation):
Present the commands as a numbered list the user can copy and run. Use the stdin form so the secret value does not appear in process listings:
For each secret, run the following command (replacing <YOUR_SECRET_VALUE> with the actual value):
1. <secret-name>:
printf '%s' '<YOUR_SECRET_VALUE>' | node "${CLAUDE_PLUGIN_ROOT}/scripts/store-keyvault-secret.js" \
--vaultName "<selected-vault>" \
--secretName "<secret-name>"
Tell the user each command outputs a JSON object with a secretUri and to share the output (which contains only the URI, not the secret) so the workflow can continue.
Option B — Azure Portal:
Provide these steps for each secret:
1. Go to the Azure Portal (https://portal.azure.com)
2. Search for "Key vaults" in the top search bar and select it
3. Select the Key Vault: <selected-vault>
4. In the left menu under "Objects", click "Secrets"
5. Click "+ Generate/Import" at the top
6. Fill in the fields:
- Upload options: Manual
- Name: <secret-name>
- Secret value: paste your secret value here
- Leave other fields as defaults
7. Click "Create"
8. After creation, click on the secret name, then click the current version
9. Copy the "Secret Identifier" URI and share it here so the workflow can continue
Tell the user the Secret Identifier URI looks like https://<vault-name>.vault.azure.net/secrets/<secret-name>/<version> and that this URI (not the secret value) is what should be shared back.
Step 4 — Create environment variable in Dataverse:
After the user shares the secretUri output from each command, create an environment variable definition in Dataverse that references the Key Vault secret. Use the secret type:
This creates a site setting with envvar_schema and source: 1, which tells Power Pages to resolve the value from the Dataverse environment variable (backed by Key Vault).
7.2b Direct Environment Variable Path
If the user chose not to use Azure Key Vault:
Step 1 — Create environment variables with placeholder values:
For each secret identified in Phase 2.3, create the environment variable in Dataverse with a placeholder value:
Step 3 — Give the user steps to set the actual secret values:
Do not ask for secret values — they must never pass through the conversation. Instead, tell the user to update each placeholder with the real value using one of these approaches:
Power Apps maker portal (make.powerapps.com) — Go to Solutions → Default Solution → Environment variables → find the variable by display name → update the value
Present the list of environment variables that need updating (display name and schema name for each) so the user knows exactly which ones to set.
7.3 Verify Environment Variable Configuration
After creating all environment variables and site settings:
Confirm each site setting YAML was created in .powerpages-site/site-settings/
Verify each YAML contains envvar_schema and source: 1
Confirm the server logic code references the correct site setting names via Server.Sitesetting.Get("<SiteSetting/Name>")
7.4 Git Commit
Do a git commit for the environment variable site setting changes.
Output: Environment variables created in Dataverse (with or without Azure Key Vault backing), site settings configured, server logic referencing correct setting names
Phase 8: Configure Site Settings
Goal: Set up site settings for the server logic feature
Actions:
8.1 Configure Server Logic Site Settings
The .powerpages-site folder is guaranteed to exist at this point (verified in Phase 1.5).
The following site settings control server logic behavior. Only create settings that differ from defaults or are specifically needed:
Setting
Description
Default
When to configure
ServerLogic/Enabled
Enable/disable server logic feature
true
Only if explicitly disabled and needs re-enabling
ServerLogic/AllowedDomains
Restrict which external domains HttpClient can call
All domains
When the server logic calls external APIs and you want to restrict to specific domains for security
ServerLogic/TimeoutInSeconds
Maximum execution time
120
The platform caps this at 120 seconds — values above 120 are silently clamped. Only configure when you need to lower the timeout, not raise it.
ServerLogic/AllowNetworkingToAllDomains
Allow networking across domains
true
Set to false when restricting via AllowedDomains
Use the existing site setting creation script:
node "${CLAUDE_PLUGIN_ROOT}/scripts/create-site-setting.js" --projectRoot "<PROJECT_ROOT>" --name "ServerLogic/AllowedDomains" --value "api.example.com,api.other.com" --description "Restrict server logic external API calls to these domains"
8.2 Git Commit
If any settings were created:
Do a git commit for the site settings changes.
Output: Site settings configured and committed (or skipped if not needed/deployed)
Phase 9: Client-Side Integration
Goal: Help the user call the server logic endpoints from their site's frontend code, matching existing patterns discovered in Phase 1
Server logic creates the backend — but without frontend code to call it, the endpoints are unused. This phase creates or updates frontend code to consume the server logic APIs, using the patterns and conventions already established in the codebase.
Actions:
9.1 Ask User About Integration Scope
Use AskUserQuestion:
Question
Options
I've created the server logic backend. Would you like me to also fully integrate it into the frontend UI?
Yes, fully integrate it into the UI (Recommended), No, I'll handle the frontend myself
If "No": Skip to Phase 10, but provide the API URL and a code snippet the user can copy.
9.2 Follow the Frontend Integration Reference
Use the reference below for the frontend integration approach, examples, and framework-specific patterns:
Based on the Explore agent's findings from Phase 1.4 and the approved plan, choose the integration approach from that reference and apply it consistently across all server logic endpoints being wired into the frontend.
9.3 Create or Update Frontend Integration
Following the reference:
Reuse the existing service layer or API utility when the site already has one
Create a lightweight CSRF-aware helper only when the site has no established API client pattern
Group multiple server logic endpoints into a coherent service module when that improves maintainability
Add framework-specific hooks/composables/services only when the codebase already follows that pattern
Fully integrate the server logic into the actual UI flow — do not stop at creating service/helper code
Update the relevant pages, components, forms, buttons, or user journeys so the new backend behavior is reachable from the interface
Replace placeholder data, mock handlers, or temporary actions when they are meant to be backed by the new server logic endpoints
Add or preserve loading, success, empty, and error states so the UI behaves like a finished feature
For validate-and-execute endpoints: The frontend must call the server logic endpoint for the protected operation (e.g., status transition) — it must NOT make a separate Web API PATCH for the same field. Ensure the UI for that operation (e.g., a "Submit" or "Approve" button) calls the server logic service function, not the Web API service
For Dataverse-backed endpoints: Match the frontend parsing to the response shape chosen in Phase 5.3. See "Dataverse Connector Response Format" in the frontend integration reference for the exact parsing per shape.
If the response shape is unclear: Do not guess. After the site is deployed, invoke /test-site against the live site so the actual server logic response can be captured from the network tab and used to drive the integration
9.4 Git Commit
If frontend integration code was created:
Do a git commit for the frontend integration changes.
Output: Frontend service/hook created as needed, UI components/pages fully integrated, and changes committed
Phase 10: Verify & Test Guidance
Goal: Validate the code and provide the user with everything needed to test the server logic
Actions:
10.1 Final Code Validation
Re-read each created .js file and verify:
Only allowed top-level functions (get, post, put, patch, del)
Every function returns a string
try/catch in every function
Server.Logger calls in every function
No import, require, or external dependencies
No browser APIs (fetch, XMLHttpRequest, setTimeout, console.log, document, window)
Async only on functions that use await
Correct SDK method usage (verified against Phase 3 documentation)
HttpClient used only for external APIs (not Dataverse)
Dataverse connector used for Dataverse operations
Re-read each .serverlogic.yml file and verify:
id field exists and is a valid UUID
adx_serverlogic_adx_webrole array is non-empty (at least one web role)
name matches the folder name and .js file name
display_name and description are populated
Fields are alphabetically sorted
File names match: folder name, .js name, .serverlogic.yml name, and name field all use the same value
Deploy the site first — The server logic must be deployed via /deploy-site before it can be called
CSRF token required for non-GET requests — POST, PUT, PATCH, and DELETE calls to server logic endpoints require a CSRF token. Fetch the token from /_layout/tokenhtml and include it as __RequestVerificationToken header. GET requests are exempt from antiforgery validation — no token is needed for read-only calls.
Authentication — Server logic respects the site's authentication. Calls from authenticated sessions use cookie-based auth automatically. Anonymous access depends on governance settings.
Testing from browser console:
Use the frontend integration reference from Phase 9 for the exact calling pattern that matches the site's stack.
Check diagnostics — Server.Logger output can be viewed in Power Pages design studio diagnostics
Follow the skill tracking instructions in the reference to record this skill's usage. Use --skillName "AddServerLogic".
11.2 Present Summary
Present a summary of everything that was done:
Step
Status
Details
Server Logic JS
Created
List each created .powerpages-site/server-logic/<name>/<name>.js file
Server Logic YAML
Created
List each created .powerpages-site/server-logic/<name>/<name>.serverlogic.yml file
HTML Plan
Created/Updated
Actual path from render script output
Functions
Implemented
Summarize methods implemented per server logic item
SDK Features Used
—
Summarize features used per server logic item
Table Permissions
Created/Skipped
accounts (Read), contacts (Read, Create), etc.
Secrets & Env Vars
Created/Skipped
Environment variables (Key Vault-backed or direct), site settings with envvar_schema
Site Settings
Created/Skipped
ServerLogic/AllowedDomains, etc.
Client-Side Service
Created/Skipped
List created or updated frontend service files
UI Integration
Created/Skipped
Pages, components, forms, or actions fully wired to the server logic endpoints
API URL
—
List each /_api/serverlogics/<name> URL
11.3 Ask to Deploy
Use AskUserQuestion:
Question
Options
The server logic work is ready. To make it live, the site needs to be deployed. Would you like to deploy now?
Yes, deploy now (Recommended), No, I'll deploy later
If "Yes, deploy now": Invoke the /deploy-site skill to deploy the site.
After deployment succeeds, use AskUserQuestion:
Question
Options
The site has been deployed. Would you like me to run /test-site to validate it now?
Yes, run /test-site (Recommended), No, skip testing
If "Yes, run /test-site": Invoke the /test-site skill.
If "No, I'll deploy later": Acknowledge and remind:
"No problem! Remember to deploy your site using /deploy-site when you're ready. The server logic endpoints won't be accessible until the site is deployed."
11.4 Post-Deploy Notes
After deployment (or if skipped), remind the user:
Test the endpoints: Call each /_api/serverlogics/<name> URL with the appropriate HTTP method (include CSRF token for non-GET requests)
Recommended full-site validation: After deployment, ask whether to run /test-site so the live site can be validated end to end
Check logs: Use Server.Logger output in Power Pages design studio diagnostics to debug issues
Table permissions: Table permissions were configured for Dataverse tables used by this server logic. If you add new Dataverse tables later, run the table permissions setup again — without permissions, Server.Connector.Dataverse silently returns 0 records
Timeout: Default execution timeout is 120 seconds — this is also the platform maximum (values above 120 are silently clamped)
Anonymous access: If the site's governance control disables anonymous access, anonymous users cannot invoke server logic that integrates with external systems
Preview feature: Server Logic is currently in preview — monitor Microsoft Learn for updates
Environment variables with placeholder values: If Phase 7 created environment variables with placeholder values, remind the user to update them with the actual secret values before testing. They can do this via:
Power Platform admin center — Environments → select environment → Environment variables → find by display name → update value
Power Apps maker portal — Solutions → open solution → Environment variables → edit value
Output: Summary presented, deployment completed or deferred, post-deploy guidance provided
Troubleshooting Server Logic Execution Errors
When a deployed server logic endpoint returns an error or unexpected response, the underlying cause is usually hidden inside the X-Ms-UserTrace response header — a base64-encoded blob containing the runtime diagnostic logs. The Power Pages Edge browser extension shows the same data, but inspecting the response header is the fastest path when iterating against a live site.
Use this flow whenever a server logic call fails or returns a different response than expected:
1. Open the Live Site in a Browser via Playwright
Use the Playwright MCP tools to drive the site:
Navigate to the deployed site URL (the websiteUrl returned by /activate-site or shown in the Power Pages admin center).
Ask the user to sign in if the endpoint requires authentication and wait for confirmation.
Trigger the action that calls the failing server logic endpoint (click the button, submit the form, etc.) — or call the endpoint directly with fetch().
2. Capture the Network Response
Use mcp__plugin_power-pages_playwright__browser_network_requests to list network activity, then locate the request to /_api/serverlogics/<name>. Note:
The HTTP status code (e.g., 200, 400, 500)
The response body (often a generic error or empty payload when validation fails)
Most importantly: the X-Ms-UserTrace response header — this is where the actual diagnostic logs live
If browser_network_requests does not surface the response headers directly, fall back to mcp__plugin_power-pages_playwright__browser_evaluate and read the headers from a fetch() call:
The header value is base64-encoded JSON. Decode it.
The decoded payload contains the diagnostic log entries — including the actual error message, the prohibited pattern (if script validation failed).
After fixing, redeploy via /deploy-site and restart the site so the change is picked up immediately.
Important Notes
Throughout All Phases
Use TaskCreate/TaskUpdate to track progress at every phase
Always fetch Microsoft Learn docs in Phase 3 before writing code — the docs are the source of truth
Ask for user confirmation at key decision points
Commit at milestones — after server logic code, table permissions (if any), secrets/environment variables (if any), site settings, and frontend integration (if any)
Validate thoroughly — server logic has strict constraints and violations cause runtime errors
Key Decision Points (Wait for User)
At Phase 1.5: Deploy now or cancel (if .powerpages-site missing — mandatory)
At Phase 2.1.2: Use existing Dataverse custom actions or build from scratch (if custom actions found)
At Phase 2: Confirm requirements (purpose, name, HTTP methods, secrets)
At Phase 4: Approve implementation plan before writing code
At Phase 6.2: Review and approve the table-permissions-architect plan (if Dataverse connector is used)
At Phase 2.3.1: Choose Azure Key Vault or direct environment variable (if secrets needed)
At Phase 7.2a Step 2: Create a new Key Vault or fall back to direct environment variable (if no vaults found)
At Phase 9.1: Create frontend integration or skip
At Phase 11.3: Deploy now or deploy later
SDK Pattern Source of Truth
Do not treat this skill file as the canonical SDK reference. The Phase 3 Microsoft Learn fetch is the source of truth for SDK usage patterns, supported methods, signatures, and connector behavior. Keep only task-specific decisions in the plan and implementation notes.
Progress Tracking
Before starting Phase 1, create a task list with all phases using TaskCreate:
Task subject
activeForm
Description
Verify site exists
Verifying site prerequisites
Locate project root, detect framework, explore existing server logics and frontend patterns, verify .powerpages-site exists (mandatory)
Understand requirements
Gathering requirements
Determine user intent, whether one or more server logic files are needed, the methods/features for each item, discover Dataverse custom actions, and any secrets required
Fetch latest documentation
Fetching Microsoft Learn docs
Query Microsoft Learn for current Server Logic SDK reference and samples
Review implementation plan
Reviewing plan with user
Present plan (server logic inventory, functions, SDK features, external APIs, secrets) and confirm before writing code
Implement server logic
Writing server logic code
Determine/create required web roles, create approved .js and .serverlogic.yml files, validate code
(Conditional) Recommend Azure Key Vault, list vaults, store secrets, create environment variables in Dataverse, create site settings with envvar_schema
Configure site settings
Configuring site settings
Set up ServerLogic/* site settings if needed
Client-side integration
Wiring frontend to server logic
Follow the frontend integration reference, create/update service files as needed, and fully wire the UI to the server logic endpoints
Verify and test guidance
Validating and providing test guidance
Final validation, API URLs, CSRF token instructions, testing guide
Review and deploy
Reviewing summary and deploying
Present summary, ask about deployment, provide post-deploy guidance
Mark each task in_progress when starting it and completed when done via TaskUpdate. Use TaskList between phase transitions and before the final summary to confirm there are no incomplete work items left.
