Cover image
Try Now
2025-03-21

FrontApp的MCP服务器和客户端

3 years

Works with Finder

1

Github Watches

1

Github Forks

0

Github Stars

Frontapp MCP Server

smithery badge

A Model Context Protocol (MCP) server for integrating Large Language Models (LLMs) with Frontapp's customer communication platform.

📚 View Full Documentation in /docs

Overview

This project implements an MCP server that acts as a bridge between LLMs and Frontapp's API. It enables LLMs to access and manipulate Frontapp data (conversations, contacts, tags, etc.) and automate Frontapp workflows using natural language commands.

The server supports real-time updates and event-driven automation using webhooks from Frontapp.

Features

  • Conversation Management: Retrieve, create, update, and manage conversations
  • Contact Management: Access and update contact information
  • Tag Management: Apply and remove tags from conversations
  • Inbox Management: Access inbox information
  • User Management: Retrieve user details
  • Webhook Integration: Receive and process real-time events from Frontapp
  • Secure Authentication: Verify webhook signatures and handle API authentication
  • Secure Credential Storage: Store sensitive information with AES-256 encryption
  • HTTPS Support: Secure communications with TLS/SSL encryption

Architecture

The MCP server follows a modular architecture:

  1. API Gateway: Handles incoming requests from LLMs and webhooks from Frontapp
  2. Request Handlers: Process requests from LLMs and interact with the Frontapp API
  3. Webhook Handlers: Process webhooks from Frontapp and update LLM context
  4. Frontapp API Client: Encapsulates the logic for interacting with the Frontapp API
  5. Data Models: Define the structure of data exchanged between LLMs, the MCP server, and Frontapp
  6. Configuration: Stores settings for the MCP server

Prerequisites

  • Node.js (v16 or higher)
  • npm or yarn
  • Frontapp API credentials
  • A publicly accessible URL for webhooks (for production use)

Installation

Installing via Smithery

To install frontapp-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @zqushair/frontapp-mcp --client claude

For detailed installation instructions, see the Installation Guide.

Quick start:

  1. Clone the repository:

    git clone https://github.com/zqushair/Frontapp-MCP.git
    cd Frontapp-MCP
    
  2. Install dependencies:

    npm install
    
  3. Create and configure the .env file:

    cp .env.example .env
    # Edit the .env file with your Frontapp API credentials
    
  4. Build and start the project:

    npm run build
    npm start
    

Documentation

Comprehensive documentation is available in the /docs directory:

Usage

API Usage

The Frontapp MCP integration exposes a set of tools that can be called by LLMs through the MCP protocol. For detailed information about the available tools and their parameters, see the API Reference.

Client Library

The project includes a TypeScript client library (src/frontapp-mcp-client.ts) that LLMs can use to interact with the MCP server:

import { FrontappMcpClient } from './frontapp-mcp-client.js';

// Create a client instance
const client = new FrontappMcpClient('http://localhost:3000');

// Get a list of conversations
const conversations = await client.getConversations({ status: 'open' });

// Send a message to a conversation
await client.sendMessage('cnv_123', 'Hello, how can I help you today?');

The client library provides:

  • Type-safe methods for all available tools
  • Error handling with custom error handlers
  • Retry logic with exponential backoff
  • Comprehensive TypeScript interfaces

A complete example of client usage is available in src/examples/client-usage-example.ts.

Webhook Integration

The integration supports receiving and processing webhooks from Frontapp for real-time event notifications. For detailed information about webhook integration, see the Webhook Integration Guide.

Development

For detailed development information, see the Development Guide.

Quick Development Commands

# Start development server with hot reloading
npm run dev

# Run tests
npm run test:api
npm run test:conversations
npm run test:tags
npm run test:contacts
npm run test:webhooks

# Lint and format code
npm run lint
npm run format

# Build for production
npm run build

# Check TypeScript types without compiling
npm run typecheck

Docker Deployment

The project includes a Dockerfile for containerized deployment. This multi-stage build process creates an optimized production image.

Building the Docker Image

# Build the Docker image
docker build -t frontapp-mcp .

# Run the Docker container
docker run -p 3000:3000 --env-file .env frontapp-mcp

Docker Build Troubleshooting

If you encounter TypeScript errors during the Docker build process, they need to be fixed before the build can succeed. Common issues include:

  1. Type errors in webhook handlers (see the TypeScript Type Safety section in the Development Guide)
  2. Missing type assertions for potentially undefined values
  3. Improper handling of optional properties

Always run npm run typecheck or npm run build locally before building the Docker image to catch and fix these issues early.

Security Considerations

  • Store API credentials securely using the credential manager with AES-256 encryption
  • Generate strong encryption keys using the provided script: npm run generate-key
  • Enable HTTPS for all communications using the built-in HTTPS support
  • Generate self-signed certificates for development: npm run generate-cert
  • Use certificates from trusted certificate authorities for production
  • Verify webhook signatures to ensure they come from Frontapp
  • Implement rate limiting to prevent abuse
  • Validate all incoming data to prevent injection attacks

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please see the Development Guide for information on how to contribute to the project.

Acknowledgements

相关推荐

  • NiKole Maxwell
  • I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

  • Bora Yalcin
  • Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Callycode Limited
  • A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Khalid kalib
  • Write professional emails

  • Beniyam Berhanu
  • Therapist adept at identifying core issues and offering practical advice with images.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • huahuayu
  • 统一的API网关,用于将多个Etherscan样区块链Explorer API与对AI助手的模型上下文协议(MCP)支持。

  • deemkeen
  • 用电源组合控制您的MBOT2:MQTT+MCP+LLM

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

    Reviews

    4 (1)
    Avatar
    user_uQtZ6Q3h
    2025-04-15

    I've been using the Model Context Protocol (MCP) Example created by iddv, and it has significantly streamlined my workflow. The intuitive interface and robust features make managing models a breeze. Plus, the detailed documentation available at https://mcp.so/server/mcp-example/iddv was incredibly helpful in getting started. Highly recommend it to anyone looking to optimize their modeling processes!