What runtime dependencies does it require?
Node.js 18.0.0 or higher and a valid Intercom API token with account-level API access.
@raoulbia-ai
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-for-intercom": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-intercom",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP-compliant server that enables AI assistants to access and analyze customer support data from Intercom. It allows searching conversations and tickets with advanced filtering by customer, status, date range, and keywords.
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.
Node.js 18.0.0 or higher and a valid Intercom API token with account-level API access.
Authentication is configured via the `INTERCOM_ACCESS_TOKEN` environment variable set to your Intercom API token.
It searches and retrieves conversations and tickets from your Intercom workspace using Intercom's search API.
Yes, the `list_conversations` tool requires a date range not exceeding 7 days.
No. This is an independent integration and is not affiliated with, officially connected to, or endorsed by Intercom Inc.
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