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
基本信息
MCP server and client for Frontapp
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Frontapp-MCP": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@zqushair/frontapp-mcp",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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