MCP Server for Intercom

by raoulbia-ai

8 stars
209 downloads
Not rated
GitHub

Description

# MCP Server for Intercom <a href="https://glama.ai/mcp/servers/@raoulbia-ai/mcp-server-for-intercom"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@raoulbia-ai/mcp-server-for-intercom/badge" /> </a> An MCP-compliant server that enables AI assistants to access…

About

# MCP Server for Intercom <a href="https://glama.ai/mcp/servers/@raoulbia-ai/mcp-server-for-intercom"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@raoulbia-ai/mcp-server-for-intercom/badge" /> </a> An MCP-compliant server that enables AI assistants to access and analyze customer support data from…

Details

Author
raoulbia-ai
GitHub stars
8
Downloads
209
Categories
Communication, Other, Search

- 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
- Retrieves conversations and tickets within configurable date ranges

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MCP Server for Intercom
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install the package globally via npm (npm install -g mcp-server-for-intercom) or use Docker. Set the INTERCOM_ACCESS_TOKEN environment variable with your Intercom API token, then run intercom-mcp. Configure it as an MCP server in Claude Desktop by adding the intercom-mcp entry to claude_desktop_config.json. The server exposes four tools: list_conversations, search_conversations_by_customer, search_tickets_by_status, and search_tickets_by_customer.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp server for intercom": {
            "mcp-server-for-intercom": {
                "command": "docker",
                "args": [
                    "build",
                    "-t",
                    "mcp-intercom",
                    "."
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server-for-intercom": {
        "command": "docker",
        "args": [
            "build",
            "-t",
            "mcp-intercom",
            "."
        ]
    }
}

MCP Server for Intercom

<a href="https://glama.ai/mcp/servers/@raoulbia-ai/mcp-server-for-intercom"> </a> 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

```bash
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