Frontapp MCP Server

What is Frontapp MCP Server?

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.

How to use Frontapp MCP Server?

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.

Key features of Frontapp MCP Server

• Conversation management (retrieve, create, update)
• Contact management (access and update contact data)
• Tag management (apply and remove tags)
• Inbox management (access inbox information)
• User management (retrieve user details)
• Real‑time webhook integration with secure authentication

Use cases of Frontapp MCP Server

• Automate customer support responses by reading and replying to conversations.
• Update contact details automatically when new information arrives.
• Apply or remove tags from conversations based on LLM‑analyzed context.
• Monitor real‑time events (e.g., new messages) via webhooks for proactive automation.
• Manage multiple inboxes and users through natural language commands.

FAQ from Frontapp MCP Server

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.

How do I install Frontapp MCP Server?

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.

Does Frontapp MCP Server support webhooks?

Yes. It can receive and process real‑time events from Frontapp via webhooks, with secure signature verification and event‑driven automation.

How are credentials stored securely?

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.