Intercom MCP Server

A hosted MCP server that gives AI agents full access to Intercom's core support workflows-search contacts, manage conversations, reply, assign, close tickets, and log notes.

Built on the Model Context Protocol using the official @modelcontextprotocol/sdk.

Tools

Related MCP server: intercom-mcp

Quickstart

1. Get your Intercom API token

1. Go to app.intercom.com

2. Navigate to Settings → Developer Hub → Your App → Authentication

3. Copy your Access Token

For testing, create a free developer workspace at app.intercom.com/developers — no paid plan required.

2. Clone and install

git clone https://github.com/your-username/intercom-mcp-server.git
cd intercom-mcp-server
npm install

3. Set your environment variable

cp .env.example .env

Open .env and add your token:

INTERCOM_API_TOKEN=your_token_here

4. Connect to Claude Desktop

Add this to your Claude Desktop config file:

Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "intercom": {
      "command": "node",
      "args": ["/absolute/path/to/intercom-mcp-server/index.js"],
      "env": {
        "INTERCOM_API_TOKEN": "your_token_here"
      }
    }
  }
}

Restart Claude Desktop. You should see the Intercom tools available.

5. Test with the MCP Inspector

npx @modelcontextprotocol/inspector node index.js

This opens a browser UI at http://localhost:5173 where you can call each tool manually and inspect responses.

Deployment on Railway

1. Push this repo to GitHub (private repo is fine)

2. Create a new project at railway.app

3. Connect your GitHub repo — Railway auto-detects Node.js

4. Add environment variable: INTERCOM_API_TOKEN = your_token

5. Deploy — Railway gives you a public URL

Environment Variables

Requirements

• Node.js 18 or higher

• An Intercom account (free developer workspace works for testing)

License

MIT