MCP Server for Intercom

An MCP-compliant server that enables AI assistants to access and analyze customer support data from Intercom.

Features

Search conversations and tickets with advanced filtering
Filter by customer, status, date range, and keywords
Search by email content even when no contact exists
Efficient server-side filtering via Intercom's search API
Seamless integration with MCP-compliant AI assistants

Installation

Prerequisites

Node.js 18.0.0 or higher
An Intercom account with API access
Your Intercom API token (available in your Intercom account settings)

Quick Setup

Using NPM

# Install the package globally
npm install -g mcp-server-for-intercom

# Set your Intercom API token
export INTERCOM_ACCESS_TOKEN="your_token_here"

# Run the server
intercom-mcp

Using Docker

The default Docker configuration is optimized for Glama compatibility:

# Start Docker (if not already running)
# On Windows: Start Docker Desktop application
# On Linux: sudo systemctl start docker

# Build the image
docker build -t mcp-intercom .

# Run the container with your API token and port mappings
docker run --rm -it -p 3000:3000 -p 8080:8080 -e INTERCOM_ACCESS_TOKEN="your_token_here" mcp-intercom:latest

Validation Steps:

# Test the server status
curl -v http://localhost:8080/.well-known/glama.json
# Test the MCP endpoint
curl -X POST -H "Content-Type: application/json" -d '{"jsonrpc":"2.0","id":1,"method":"mcp.capabilities"}' http://localhost:3000

Alternative Standard Version

If you prefer a lighter version without Glama-specific dependencies:

# Build the standard image
docker build -t mcp-intercom-standard -f Dockerfile.standard .

# Run the standard container
docker run --rm -it -p 3000:3000 -p 8080:8080 -e INTERCOM_ACCESS_TOKEN="your_token_here" mcp-intercom-standard:latest

The default version includes specific dependencies and configurations required for integration with the Glama platform, while the standard version is more lightweight.

Available MCP Tools

1. `list_conversations`

Retrieves all conversations within a date range with content filtering.

Parameters:

startDate (DD/MM/YYYY) – Start date (required)
endDate (DD/MM/YYYY) – End date (required)
keyword (string) – Filter to include conversations with this text
exclude (string) – Filter to exclude conversations with this text

Notes:

Date range must not exceed 7 days
Uses efficient server-side filtering via Intercom's search API

Example:

{
  "startDate": "15/01/2025",
  "endDate": "21/01/2025",
  "keyword": "billing"
}

2. `search_conversations_by_customer`

Finds conversations for a specific customer.

Parameters:

customerIdentifier (string) – Customer email or Intercom ID (required)
startDate (DD/MM/YYYY) – Optional start date
endDate (DD/MM/YYYY) – Optional end date
keywords (array) – Optional keywords to filter by content

Notes:

Can find conversations by email content even if no contact exists
Resolves emails to contact IDs for efficient searching

Example:

{
  "customerIdentifier": "customer@example.com",
  "startDate": "15/01/2025",
  "endDate": "21/01/2025",
  "keywords": ["billing", "refund"]
}

3. `search_tickets_by_status`

Retrieves tickets by their status.

Parameters:

status (string) – "open", "pending", or "resolved" (required)
startDate (DD/MM/YYYY) – Optional start date
endDate (DD/MM/YYYY) – Optional end date

Example:

{
  "status": "open",
  "startDate": "15/01/2025",
  "endDate": "21/01/2025"
}

4. `search_tickets_by_customer`

Finds tickets associated with a specific customer.

Parameters:

customerIdentifier (string) – Customer email or Intercom ID (required)
startDate (DD/MM/YYYY) – Optional start date
endDate (DD/MM/YYYY) – Optional end date

Example:

{
  "customerIdentifier": "customer@example.com",
  "startDate": "15/01/2025",
  "endDate": "21/01/2025"
}

Configuration with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "intercom-mcp": {
      "command": "intercom-mcp",
      "args": [],
      "env": {
        "INTERCOM_ACCESS_TOKEN": "your_intercom_api_token"
      }
    }
  }
}

Implementation Notes

For detailed technical information about how this server integrates with Intercom's API, see src/services/INTERCOM_API_NOTES.md. This document explains our parameter mapping, Intercom endpoint usage, and implementation details for developers.

Development

# Clone and install dependencies
git clone https://github.com/raoulbia-ai/mcp-server-for-intercom.git
cd mcp-server-for-intercom
npm install

# Build and run for development
npm run build
npm run dev

# Run tests
npm test

Disclaimer

This project is an independent integration and is not affiliated with, officially connected to, or endorsed by Intercom Inc. "Intercom" is a registered trademark of Intercom Inc.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Install Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

An MCP-compliant server that enables AI assistants like Claude Desktop to access and analyze Intercom support tickets with full conversation history.

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