| name | self-integration |
| description | Connect to any external app and perform actions on it. Use when the user wants to interact with external services like Slack, Linear, HubSpot, Salesforce, Jira, GitHub, Google Sheets, or any other app — send messages, create tasks, sync data, manage contacts, or perform any API operation. |
Self-Integration
Connect to any external app and perform actions on it. Uses the Membrane API.
Making API Requests
All requests go to ${MEMBRANE_API_URL:-https://api.getmembrane.com} with a Bearer token:
Authorization: Bearer $MEMBRANE_TOKEN
Content-Type: application/json
Get the API token from the Membrane dashboard.
Workflow
Step 1: Get a Connection
A connection is an authenticated link to an external app (e.g. a user's Slack workspace, a HubSpot account). You need one before you can run actions.
1a. Check for existing connections
GET /connections
Look for a connection matching the target app. Key fields: id, name, connectorId, disconnected.
If a matching connection exists and disconnected is false, skip to Step 2.
1b. Find a connector
A connector is a pre-built adapter for an external app. Search by app name:
GET /search?q=slack
Look for results with elementType: "connector". Use element.id as connectorId in step 1d.
If nothing is found, go to step 1c to build a connector.
1c. Build a connector (if none exists)
Create a Membrane Agent session to build a connector:
POST /agent/sessions with body {"prompt": "Build a connector for Slack (https://slack.com)"}
Adjust the prompt to describe the actual app you need. Poll GET /agent/sessions/{sessionId}?wait=true&timeout=30 until state is "idle" or status is "completed".
You can send follow-up instructions via POST /agent/sessions/{sessionId}/message or abort via POST /agent/sessions/{sessionId}/interrupt.
After the connector is built, search for it again (step 1b).
1d. Request a connection
Create a connection request so the user can authenticate with the external app:
POST /connection-requests with body {"connectorId": "cnt_abc123"}
The response includes a url. Tell the user to open the url to complete authentication (OAuth, API key, etc.).
1e. Check connection result
Poll until the user completes authentication:
GET /connection-requests/{requestId}
status: "pending" — user hasn't completed yet, poll again.status: "success" — done. Use resultConnectionId as the connection ID going forward.status: "error" — failed. Check resultError for details.
Step 2: Get an Action
An action is an operation you can perform on a connected app (e.g. "Create task", "Send message", "List contacts").
2a. Search for actions
Search using a natural language description of what you want to do:
GET /actions?connectionId=con_abc123&intent=send+a+message&limit=10
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
If no suitable action exists, go to step 2b.
2b. Build an action (if none exists)
Use Membrane Agent. ALWAYS include the connection ID in the prompt:
POST /agent/sessions with body {"prompt": "Create a tool to send a message in a channel for connection con_abc123"}
Adjust the prompt to describe the actual action you need. Poll for completion the same way as step 1c. After the action is built, search for it again (step 2a).
Step 3: Run an Action
Execute the action using the action ID from step 2 and the connection ID from step 1:
POST /actions/{actionId}/run?connectionId=con_abc123 with body {"input": {"channel": "#general", "text": "Hello!"}}
Provide input matching the action's inputSchema.
The result is in the output field of the response.
API Reference
Base URL: ${MEMBRANE_API_URL:-https://api.getmembrane.com}
Auth header: Authorization: Bearer $MEMBRANE_TOKEN
GET /connections
List all connections.
Response:
{
"items": [
{
"id": "string",
"name": "string",
"connectorId": "string",
"integrationId": "string (optional)",
"disconnected": "boolean",
"state": "NOT_CONFIGURED | SETUP_IN_PROGRESS | SETUP_FAILED | READY",
"error": "object (optional)",
"createdAt": "datetime",
"updatedAt": "datetime"
}
]
}
GET /search
Search workspace elements by keyword.
Query parameters:
| Param | Type | Description |
|---|
q | string (required) | Search query (1-200 chars) |
elementType | string (optional) | Filter by type: Connector, Integration, Action, etc. |
limit | number (optional) | Max results (1-100) |
Response:
{
"items": [
{
"elementType": "Connector",
"element": {
"id": "string",
"name": "string",
"logoUri": "string (optional)"
}
}
]
}
POST /connection-requests
Create a connection request for user authentication.
Request body (at least one identifier required):
| Field | Type | Description |
|---|
connectorId | string | Connector ID |
integrationId | string | Integration ID (alternative) |
integrationKey | string | Integration key (alternative) |
connectionId | string | Existing connection ID (for reconnecting) |
name | string | Custom connection name |
connectorVersion | string | Connector version |
connectorParameters | object | Connector-specific parameters |
Response:
{
"requestId": "string",
"url": "string",
"status": "pending | success | cancelled | error",
"connectorId": "string (optional)",
"integrationId": "string (optional)",
"resultConnectionId": "string (optional, set on success)",
"resultError": "object (optional, set on error)",
"createdAt": "datetime"
}
GET /connection-requests/:requestId
Check connection request status. Same response schema as POST.
GET /actions
List or search actions.
Query parameters:
| Param | Type | Description |
|---|
connectionId | string | Filter by connection |
integrationId | string | Filter by integration |
intent | string | Natural language search (max 200 chars) |
limit | number | Max results (default 10) |
Response:
{
"items": [
{
"id": "string",
"name": "string",
"key": "string",
"description": "string (optional)",
"type": "string",
"inputSchema": "JSON Schema (optional)",
"outputSchema": "JSON Schema (optional)",
"integrationId": "string (optional)",
"connectionId": "string (optional)"
}
]
}
POST /actions/:actionId/run
Run an action.
Query parameters:
| Param | Type | Description |
|---|
connectionId | string | Connection to run the action on |
Request body:
| Field | Type | Description |
|---|
input | any | Parameters matching the action's inputSchema |
Response:
{
"output": "any"
}
POST /agent/sessions
Create an agent session to build connectors or actions.
Request body:
| Field | Type | Description |
|---|
prompt | string (required) | Task description |
Response:
{
"id": "string",
"status": "queued | starting | running | completed | failed | cancelled",
"state": "busy | idle",
"prompt": "string",
"createdAt": "datetime",
"updatedAt": "datetime"
}
GET /agent/sessions/:id
Get agent session status.
Query parameters:
| Param | Type | Description |
|---|
wait | boolean | If true, long-poll until session is idle or timeout |
timeout | number | Max wait in seconds (1-60, default 30) |
Response: same schema as POST /agent/sessions.
POST /agent/sessions/:id/message
Send a follow-up message to an active agent session.
Request body:
| Field | Type | Description |
|---|
input | string (required) | Message to send |
Response: same schema as POST /agent/sessions.
POST /agent/sessions/:id/interrupt
Abort an agent session.
Response:
{
"interrupted": "boolean"
}
External Endpoints
All requests go to the Membrane API. No other external services are contacted directly by this skill.
| Endpoint | Data Sent |
|---|
${MEMBRANE_API_URL:-https://api.getmembrane.com}/* | API token, connection parameters, action inputs, agent prompts |
Security & Privacy
- All data is sent to the Membrane API over HTTPS.
MEMBRANE_TOKEN is a high-privilege credential that can create connections and run actions across external apps. Treat it as a secret.- Connection authentication (OAuth, API keys) is handled by Membrane — credentials for external apps are stored by the Membrane service, not locally.
- Action inputs and outputs pass through the Membrane API to the connected external app.
By using this skill, data is sent to Membrane. Only install if you trust Membrane with access to your connected apps.
