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
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-for-intercom": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-intercom",
"."
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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