This skill should be used when the user asks to "design an MCP server", "audit an MCP server", "review MCP tools", "add MCP tool", "improve tool descriptions", "design tool surface", "add submit_feedback tool", "review tool schema", mentions "MCP transport", "tool annotations", "mcp stdio", "MCP Resources", "MCP Prompts", or is designing, reviewing, or auditing any MCP server. Covers design philosophy, tool naming, parameter schemas, agent UX, feedback channel, transport, security, and client compatibility. NOT for hands-on implementation from scratch (use mcp-builder for that).
Installation
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
This skill should be used when the user asks to "design an MCP server", "audit an MCP server", "review MCP tools", "add MCP tool", "improve tool descriptions", "design tool surface", "add submit_feedback tool", "review tool schema", mentions "MCP transport", "tool annotations", "mcp stdio", "MCP Resources", "MCP Prompts", or is designing, reviewing, or auditing any MCP server. Covers design philosophy, tool naming, parameter schemas, agent UX, feedback channel, transport, security, and client compatibility. NOT for hands-on implementation from scratch (use mcp-builder for that).
Building MCP Servers
SDK setup, scaffolding, language idioms → mcp-builder.
Scope Tags
This skill intentionally mixes universal MCP guidance with narrower production recipes. Treat
the tags below as binding when applying the references:
UNIVERSAL — applies to any MCP server, independent of language, SDK, transport, or host
OPINIONATED — recommended default distilled from one or a handful of real production
servers, not from controlled studies. Treat as a strong starting point worth measuring on
your own surface; adapt or skip when it does not match the project. Items that cite a
specific study or n-of-servers do so inline.
STACK-SPECIFIC — applies only to the named stack, framework, client, or deployment shape; inline as [STACK:label] where label names the specific stack (e.g. [STACK:Python], [STACK:stateful-backends])
EMPIRICAL — observed client behaviour; verify when the client version or date matters
CONDITIONAL — applies when the named precondition holds (specific transport, deployment
shape, or stack); skip otherwise
When in doubt, enforce UNIVERSAL rules first. Do not treat OPINIONATED or STACK-SPECIFIC recipes
as protocol requirements.
Glossary
Term
Design meaning
stdio / Streamable HTTP
The two MCP transports. Pick by who-launches-whom — see §Transport.
Resource
A primitive selected and injected by the client, not invoked by the model. Use when context is stable and URI-addressable. → tool-design.md §Picking a Primitive
Prompt
A primitive the user invokes by name (slash command in Claude Code). Use for reusable workflows the user explicitly triggers. → tool-design.md §Picking a Primitive
outputSchema + structuredContent
Server contract: declaring outputSchema makes structuredContent MUST on every successful call. Declare for any tool returning machine-parseable data; always pair with a compact text preview. Owner for nullable / null-arm / additionalProperties rules: tool-design.md §Schema Compatibility.
isError
The right channel for business / validation errors (agent self-corrects). Protocol exceptions are for malformed requests, not domain failures.
Tasks (SEP-1686)
Spec primitive for long-running ops. Status (verified 2026-05-22): no tracked client confirmed negotiating it — matrix shows ⚠️ not declared / unverified across both Claude clients (clients.md). Working default is the roll-your-own async handle (submit tool returns {id, status: "working"}; separate polling tool returns terminal state). Switch to the spec primitive when the matrix flips. Wire shape: examples/long-running-tasks-wire-shape.md. Decision tree: tool-design.md §Long-Running Operations.
_meta
Spec-defined open-ended object on requests / results / tool definitions. Vendor-specific knobs ride here when the spec hasn't standardised them yet — e.g. Claude Code's anthropic/maxResultSizeChars is a namespaced field on the tool definition itself, not inside _meta (verify exact placement against the Claude Code MCP docs for your version). When in doubt: tool-level knobs go on the tool definition; per-call hints go in request _meta; per-result hints in result _meta.
server.instructions
Server-declared system prompt — a config surface for shaping agent behaviour without adding tools. Keep it tight; budget rules in agent-ux.md. SDK wiring (verified): FastMCP instructions= constructor arg; TypeScript SDK Serverinstructions field at construction. Other SDKs (Go, Rust, low-level Python mcp) expose the same instructions field on the server constructor — check the SDK's Server/McpServer reference. Caveat: MCP gateways/aggregators may replace or drop upstream server instructions; load-bearing rules must also be recoverable from tool descriptions, schemas, errors, or results.
Tool annotations
Posture hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) — advisory, not security. title is top-level on the Tool object per spec, not inside annotations. Asymmetric default:destructiveHint defaults to true (opt-out) but is only meaningful when readOnlyHint: false — on read-only tools it's ignored. Forgetting to set it to false on an additive write (e.g. submit_feedback) silently marks the tool destructive. → tool-design.md §Annotations.
posture (primary / secondary)
Project-level classification used by this skill (not a protocol field — secondary tools still appear in tools/list and count for the client). Primary = user-facing capability; secondary = plumbing (health, polling/status pairs, submit_feedback). Drives the ≤10 design signal, not a runtime filter.
resource_link
Tool result type that returns a URI pointer instead of inlining content. Design use: large payloads, already-addressable resources. Not guaranteed to appear in resources/list.
icons
Optional icon array on Tool/Resource/Prompt (SEP-973, spec 2025-11-25). Pure presentation — no client tracked in clients.md is known to render them today. Design implication only when targeting clients that confirm rendering — don't invest in icon assets ahead of that confirmation.
References
References verified as of 2026-05-24; per-file recheck dates inside clients.md (the freshness-sensitive file).
Designing a new server.Minimum viable spine (read these): design-philosophy → tool-design → clients. Add when the server takes that shape: agent-ux once you start writing descriptions / server.instructions; feedback-tool only if you're adopting that pattern (when-not-to-use); security-threats before exposing on a network; observability before first production deploy. Stack-conditional: daemon-architecture (stateful backends), gateway-aggregation (multi-server-behind-one-edge).
Auditing an existing server: start at audit-checklist.md and jump to the linked ref on each ❌ finding.
Daemon + on-demand split, Unix socket, crash isolation, plus the stderr-rule inversion under this pattern. Skip on stateless servers — the UNIVERSAL stderr rule is in §Transport below.
Design tools around user goals — each tool completes an intent, not an endpoint
Bundle orchestration (multiple API calls, data filtering, normalisation) inside the tool
A good REST API is not a good MCP server — mapping endpoints 1:1 causes "tool pollution"
Tools are prompts. Tool name and description are read by the LLM. Write for language models:
explain when to call, what triggers the call, what not to do
title: include on every tool [OPINIONATED] — spec marks it optional; in practice clients display it as user-facing prose. Top-level on the Tool object (not inside annotations). 1–3 words, product language, sentence case ("Search messages", not search_messages)
icons: optional {src, mimeType, sizes?[]} array on Tool/Resource/Prompt (SEP-973, 2025-11-25)
Classify each tool: primary (user-facing) or secondary/helper (plumbing)
Declare outputSchema on structured tools — when declared, MUST return structuredContent on every call (see glossary + tool-design.md)
Use isError: true for business errors (validation, API failures) — never raise protocol exceptions for domain errors
Error messages must be actionable: include what went wrong + diagnostic detail + Action: hint
Flat parameter schemas — no bare dict / object without properties. Typed nested models with fully-declared properties at ≤1 level are fine; ≥2 levels hallucinate regardless of typing. → tool-design.md §Argument Flattening
Hard-cap all list responses; include pagination token when truncated
≤10 primary tools is a signal, not a hard cap (OPINIONATED — rationale and decision test in references/tool-design.md §Classification). Secondary tools that don't count against the budget: diagnostics (health, version); the roll-your-own polling tool paired with its submit tool (tool-design.md §Long-Running Operations); and the submit_feedback channel. Secondary is a design-time classification, not a runtime filter — these tools still appear in tools/list.
Spec MUST: declare tools capability whenever the server exposes tools. Minimum is "tools": {}; upgrade to "tools": {"listChanged": true} only when your tool set mutates after init (auth gating, feature flags, multi-tenant). Declaring listChanged: true on a static surface misleads defenders into watching for events that never fire; delivery across clients is uneven — see clients.md cross-client matrix and tool-design.md §Dynamic Tool Sets.
A useful pattern for self-owned production servers with a maintainer who reads the queue —
not an MCP protocol requirement. Skip this entirely for adversarial environments, deployments
without an active reviewer, or short-lived/demo servers — see
feedback-tool.md §When NOT to use.
If you adopt the pattern:
Write-only for the agent — no read-back, no tracking ID, fire and forget
Agent reports bugs, confusing behaviour, missing capabilities in the moment
Operator reviews out-of-band via feedback list / feedback status / feedback delete
Separate storage from the server's main data (own SQLite file or table)
→ Full interface spec including severity, missing_capability, workaround_used, and the complete parameter contract: references/feedback-tool.md
Agent UX
Tool descriptions serve two audiences: LLM (reads as prompt) and human (sees in UI). Write for LLM first
elicitation (mid-call structured user input, supported by Claude Code, not by Claude Desktop — verify your client in clients.md matrix) is the right channel for optional parameters that need clarification — use it instead of stuffing every conditional into the tool description. Cross-client safe path: design the tool to work without elicitation; treat elicitation as a UX upgrade when the negotiated capability is present. → clients.md §Claude Code Design Implications
System prompt (server.instructions): keep minimal — grow only when you see agents making wrong decisions without the directive. ALL-CAPS named workflow patterns, built dynamically at startup. Canonical ~100-word example covering all four content types: agent-ux.md §System Prompt as Configuration Surface
Two complementary UX checks: dark-room (run after each surface change — agent + server + real task + no briefing → review feedback queue; copy-paste prompt template: agent-ux.md §Dark-Room Test) and agent CustDev (run once before the surface stabilises and after major redesigns — capable agents review the tool catalogue itself, no task; protocol: agent-ux.md §Agent CustDev). Both require submit_feedback deployed.
Error messages: include Action: hint for every recoverable error — agents act on error text directly
Decision tree. Disambiguate first: is the client launching the server (subprocess), or connecting to a long-lived endpoint? First matching branch wins, then keep walking for the auth layer.
Client launches the server as a subprocess (Claude Desktop; Claude Code via .mcp.json with "command"; any CLI host)? → stdio. Same-machine, single-consumer, no port allocation, no Origin/DNS-rebinding surface.
Client connects to a long-lived endpoint? → Streamable HTTP. Pick the auth shape by who reaches the endpoint:
Public internet, multiple/external users → TLS + OAuth 2.1 per-principal, narrow scopes, audience-bound tokens (RFC 8707). See security-threats.md §3.
Private network only (Tailscale, internal VPN, sibling containers) — single trusted user → TLS optional inside the trusted network; a single shared token is still required (defence in depth — the network is not the only attacker).
Internal Docker network with no untrusted neighbours → plaintext + auth terminated at a gateway (worked pairing row 2 below).
Worked pairings:
Deployment shape
Transport
Auth
Claude Desktop / local Claude Code launches your server as a subprocess
stdio
none (process boundary)
Docker MCP gateway behind shared OAuth edge
streamable-http on 0.0.0.0:<port> inside the docker network
OAuth 2.1 terminated at the gateway, not per backend
Personal / single-user server behind Tailscale, VPN, or private LAN
streamable-http (TLS if crossing untrusted hops)
single bearer token tied to the principal (do not skip — §0 applies even on private networks)
Remote SaaS server for external users (incl. remote Claude Code)
Streamable HTTP = MCP's current HTTP transport (introduced in spec 2025-03-26, current in 2025-11-25): one endpoint accepting POST + GET, server picks application/json or text/event-stream per response. Replaces the HTTP+SSE transport (introduced in 2024-11-05, deprecated in 2025-03-26). Design-binding rules (the rest of the protocol shape is in the spec):
Server MUST validate both Host and Origin (403 if invalid). Host is the load-bearing DNS-rebinding defence; Origin is defence in depth. SDK defaults vary — recent FastMCP enables protection only when bound to loopback, and mutating host post-construction silently bypasses it; TS SDK and others differ. Allow-list must match what your client actually sends, on the host you actually bind to. Full SDK footgun list + probes: security-threats.md §0 — HTTP Origin + Host validation.
Bind to localhost (not 0.0.0.0) by default — relax only for the docker-network + auth-gateway pairing in the table above. Unix domain socket is the strongest mitigation (browsers cannot reach it).
The old HTTP+SSE transport (introduced in spec 2024-11-05, deprecated in 2025-03-26) — never use it in new servers.
[STACK:remote-multi-server] Put auth/proxy/ingress in front of a curated gateway, not in every backend server
For stdio: stdout is JSON-RPC only. Any other byte on stdout corrupts the transport silently. This is the UNIVERSAL rule — applies to every stdio MCP server, every language, every SDK. Diagnostic / human-readable logging goes to stderr; structured event logs (e.g. JSONL usage logs) go to a file the server process owns — see observability.md §Where to store. Probe: your_server </dev/null >/tmp/out 2>/dev/null & pid=$!; sleep 1; kill $pid; wc -c </tmp/out must print 0. The one exception is the daemon + on-demand pattern, where the MCP-server child is silent on both streams and logs travel to the daemon over the Unix socket — see daemon-architecture.md §Stderr Rule.
Prompt injection — delimit untrusted content in tool responses; never inject raw message/file/DB content
Localhost exposure — bind to 127.0.0.1 or Unix socket; never expose without auth on public interface
DNS rebinding (Streamable HTTP) — validate both Host and Origin headers; SDK defaults vary and may silently bypass on 0.0.0.0 bindings. Canonical rule + footguns + probes: security-threats.md §0
Annotation trust — annotations are hints, not security boundaries. Canonical statement + design implications: tool-design.md §Annotations
Input boundary — validate all paths, shell arguments, URLs, tenant IDs, and secrets server-side
Per-call logs drive dead-tool / hot-tool / error-rate decisions. Minimum fields: ts, tool_name, status, duration_ms. Never log raw args or responses (secrets, PII, prompt-injected content). → references/observability.md for schema, storage patterns, privacy rules, report templates.
Auditing an Existing Server
→ references/audit-checklist.md — 16-section, ~80-item checklist,
* marks high-priority items, produces HIGH / MEDIUM / LOW findings summary.
Precondition. §1's 80/20 / dead-tool usage-data items require ≥30 days of production tool-call logs (audit-checklist.md §1). For a new or pre-production server, mark only those usage-data items N/A; the rest of §1 (tool count vs. ≤10 signal, 1:1 endpoint wrappers, outcome orientation, one-job scoping) reads on design alone — run it now and queue the usage-data rerun once traffic exists.
Quick Checks
Before shipping or handing off:
title set on every tool [OPINIONATED] — top-level on the Tool object, 1–3 words, sentence case, user-facing. Skip when: no client in your target matrix renders title distinctly from name.
server.instructions reviewed [OPINIONATED] — empty / near-empty is worse than absent; either grow it to a real configuration surface or omit entirely. Budget + canonical shape: agent-ux.md §System Prompt as Configuration Surface.
Tools designed for outcomes, not 1:1 endpoint wrappers
Primary tool count scrutinised against the ≤10 signal [OPINIONATED] — see tool-design.md §Tool Classification. Skip when: surface intentionally domain-broad with prefix namespacing across many tools — namespacing carries the load instead.
Mutating tools safe by default — draft/paused/dry-run unless explicit activation
(if adopting feedback pattern — see feedback-tool.md §When NOT to use)submit_feedback present [OPINIONATED] — write-only, fire-and-forget; system prompt includes feedback directive. Skip when: no maintainer reads the queue, deployment is short-lived/demo, or environment is adversarial.
Business errors use isError: true with actionable diagnostics — no protocol exceptions
For stdio, stdout is JSON-RPC only; diagnostic logs go to stderr, structured event logs to a file the server owns
For Streamable HTTP, HostandOrigin allow-lists are configured for the host you actually bind to (loopback-default SDK protection silently bypasses on 0.0.0.0) — see security-threats.md §0
No bare dict / object without properties in parameter schemas; typed nested models OK at ≤1 level
Per-call usage log in place [OPINIONATED] — ts, tool_name, status, duration_ms minimum. Skip when: pre-production / dev server with no real traffic — treat as debt to clear before first production deploy.
No raw argument values or response bodies in any log [UNIVERSAL] — applies whether or not the usage log above exists; raw values may carry secrets, PII, or prompt-injected content.
What's Evolving
If your tool returns HTML/JSON for rendering — keep structuredContent schema-stable. MCP Apps (SEP-1865) is rolling out a ui:// rendering extension; stable schemas keep its later adoption non-breaking.
sampling/createMessage works in spec but neither tracked client declares the capability. The 2025-11-25 spec keeps sampling and adds SEP-1577 (sampling with tools / server-side agent loops); only includeContext is soft-deprecated. But neither Claude Desktop nor Claude Code declares the sampling capability (clients.md) — so designing around sampling today produces dead code on those clients. Acceptable to include a sampling code path behind a capability check; not acceptable to make a primary tool's behaviour depend on it.
Long-running tools today: the roll-your-own async handle is the working mechanism; taskSupport: "optional" is a future-leaning hedge.taskSupport (per-tool field declared via the Tasks SEP) is a no-op on clients that don't negotiate the tasks capability — and no client in clients.md is confirmed to do so today (2026-05-22). For Claude Desktop's defensive ≤20s heuristic (one observation: socket closed at 26s; see clients.md §Timeouts — not a documented ceiling), only the roll-your-own handle protects you; declaring taskSupport: "optional" alongside is harmless and switches on automatically when clients catch up. Reserve taskSupport: "required" until the matrix flips. Wire shape: examples/long-running-tasks-wire-shape.md.
