What are the prerequisites to run Frontapp MCP Server?
Node.js v16 or higher, npm or yarn, a Frontapp API key, and (for webhooks) a publicly accessible URL.
@zqushair
基本情報
MCP server and client for Frontapp
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": {
"Frontapp-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@zqushair/frontapp-mcp",
"--client",
"claude"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol server that integrates large language models with Frontapp's customer communication platform. It enables LLMs to access and manipulate Frontapp data—such as conversations, contacts, and tags—and automate workflows using natural language commands.
Install via Smithery or manually by cloning the repository, installing dependencies, configuring a .env file with Frontapp API credentials, then building and starting the server. Use the provided TypeScript client library to call tools like getConversations and sendMessage through the MCP protocol.
Node.js v16 or higher, npm or yarn, a Frontapp API key, and (for webhooks) a publicly accessible URL.
You can install it via Smithery (`npx @smithery/cli install @zqushair/frontapp-mcp --client claude`) or manually by cloning the repository, running `npm install`, configuring `.env`, building with `npm run build`, and starting with `npm start`.
Yes. It can receive and process real‑time events from Frontapp via webhooks, with secure signature verification and event‑driven automation.
Sensitive information is stored with AES‑256 encryption. Use `npm run generate-key` to create a strong encryption key, and store it in the environment configuration.

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