Skip to main content
Glama

Integration App MCP Server

Official
by membranehq
# Integration App MCP Server <a href="https://integration.app/"> <img width="1148" alt="Screenshot 2025-07-07 at 23 03 05" src="https://github.com/user-attachments/assets/39f6cc74-a689-4657-91f3-ee8358c05e31" /> </a> The Integration App MCP Server is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server, it provides actions for connected integrations on Integration.app membrane as tools. Here's our official [AI Agent Example](https://github.com/integration-app/ai-agent-example) that shows you how to use this MCP server in your application. ### 📋 Prerequisites - Node.js (v18 or higher) - An [Integration.app](https://integration.app) account ### ⚙️ Installation ```bash git clone https://github.com/integration-app/mcp-server.git cd mcp-server npm install npm run build ``` ### 🛠️ Local Development To run the development server locally, start it with: ```bash npm run dev ``` The server will be live at `http://localhost:3000` ⚡️ ### 🧪 Running tests ```bash # Run the server in test mode npm run start:test # then run tests npm test ``` ### 🚀 Deployment Deploy your own instance of this MCP server to any cloud hosting service of your choice. #### 🐳 Docker The project includes a Dockerfile for easy containerized deployment. ```bash docker build -t integration-app-mcp-server . docker run -p 3000:3000 integration-app-mcp-server ``` ### 🔗 Connecting to the MCP server This MCP server support two transports: | Transport | Endpoint | Status | | ---------------------------------------------------------------------------------------------------------------------- | -------- | ---------------------------------------------------------------------- | | [SSE](https://modelcontextprotocol.io/docs/concepts/transports#server-sent-events-sse-deprecated) (Server‑Sent Events) | `/sse` | 🔴 **Deprecated** — deprecated as of November 5, 2024 in MCP spec | | [HTTP](https://modelcontextprotocol.io/docs/concepts/transports#streamable-http) (Streamable HTTP) | `/mcp` | 🟢 **Recommended** — replaces SSE and supports bidirectional streaming | ### 🔐 Authentication Provide an [Integration.app access token](https://docs.integration.app/docs/authentication#access-token) via query or `Authorization` header: ```http ?token=ACCESS_TOKEN Authorization: Bearer ACCESS_TOKEN ``` **SSE** (Deprecated) ```js await client.connect( new SSEClientTransport( new URL( `https://<HOSTED_MCP_SERVER_URL>/sse` ) { requestInit: { headers: { Authorization: `Bearer ${ACCESS_TOKEN}`, }, }, } ) ); ``` **Streamable HTTP** (Recommended) ```js await client.connect( new StreamableHTTPClientTransport( new URL(`https://<HOSTED_MCP_SERVER_URL>/mcp`) { requestInit: { headers: { Authorization: `Bearer ${ACCESS_TOKEN}`, }, }, } ) ); ``` ### ⚡ Static vs Dynamic Mode By default, the MCP server runs in **static mode**, which means it returns **all available tools** (actions) for all connected integrations. With **dynamic mode** (`?mode=dynamic`), the server will only return **one tool**: `enable-tools`. You can use this tool to selectively enable the tools you actually need for that session. In dynamic mode, your implementation should figure out which tools are most relevant to the user's query. Once you've identified them, prompt the LLM to call the `enable-tools` tool with the appropriate list. Want to see how this works in practice? Check out our [AI Agent Example](https://github.com/integration-app/ai-agent-example). ```ts import { Client } from '@modelcontextprotocol/sdk/client/index.js'; import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js'; const client = new Client({ name: 'example-integration-app-mcp-client', version: '1.0.0', }); const transport = new StreamableHTTPClientTransport( new URL(`https://<HOSTED_MCP_SERVER_URL>/mcp?mode=dynamic`), { requestInit: { headers: { Authorization: `Bearer ${ACCESS_TOKEN}`, }, }, } ); await client.connect(transport); await client.callTool({ name: 'enable-tools', arguments: { tools: ['gmail-send-email', 'gmail-read-email'], }, }); ``` ### 🔧 Getting tools for a specific integrations In static mode, the MCP server fetches tools from all active connections associated with the provided token. You can choose to only fetch tools for a specific integration by passing the `apps` query parameter: `/mcp?apps=google-calendar,google-docs` ### 💬 Chat Session Management (Experimental) The MCP server (streamable-http transport only) supports persistent chat sessions. Include an `x-chat-id` header in your requests to automatically track sessions for that specific chat. This is an experimental feature that we provide in addition to standard MCP sessions. **Starting a new chat session:** ```http POST /mcp Authorization: Bearer YOUR_ACCESS_TOKEN x-chat-id: my-awesome-chat-123 ``` **Retrieving your chat sessions:** ```http GET /mcp/sessions Authorization: Bearer YOUR_ACCESS_TOKEN ``` **Response:** ```json { "my-awesome-chat-123": "session-uuid-1", "another-chat-456": "session-uuid-2" } ``` This feature lets you use same session for a conversation. Check out our [AI Agent Example](https://github.com/integration-app/ai-agent-example) to see how this works in practice. ### Configuring other MCP clients #### 📝 Cursor To use this server with Cursor, update the `~/.cursor/mcp.json` file: ```json { "mcpServers": { "integration-app": { "url": "https://<HOSTED_MCP_SERVER_URL>/sse?token={ACCESS_TOKEN}" } } } ``` Restart Cursor for the changes to take effect. #### 🤖 Claude Desktop To use this server with Claude, update the config file (Settings > Developer > Edit Config): ```json { "mcpServers": { "integration-app": { "url": "https://<HOSTED_MCP_SERVER_URL>/sse?token={ACCESS_TOKEN}" } } } ``` ### 🔧 Troubleshooting - Ensure your access token is valid and you're generating it according to [these instructions](https://docs.integration.app/docs/authentication#access-token) - Check the MCP server logs for any errors or issues during startup or connection attempts. - Use the [MCP Inspector](https://www.npmjs.com/package/@modelcontextprotocol/inspector) for testing and debugging

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/membranehq/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server