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Frontapp MCP Server: Team Sync & Task Mastery - MCP Implementation

Frontapp MCP Server: Team Sync & Task Mastery

Transform your Frontapp workflow with MCP Server & Client – seamlessly sync teams, crush tasks, and supercharge collaboration. Effortless control, ultimate efficiency – done right." )

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About Frontapp MCP Server

What is Frontapp MCP Server: Team Sync & Task Mastery?

Frontapp MCP Server acts as a bridge between Large Language Models (LLMs) and Frontapp’s customer communication platform. It enables LLMs to interact with Frontapp data—such as conversations, contacts, and tags—via natural language commands while supporting real-time automation through webhooks. Built with modular architecture, this server ensures secure authentication, encrypted credential storage, and HTTPS communication to facilitate seamless integration between AI-driven workflows and enterprise communication systems.

How to Use Frontapp MCP Server: Team Sync & Task Mastery?

Utilizing the server involves three core steps: installation, configuration, and API/client interaction. Begin by setting up prerequisites like Node.js and Frontapp API credentials. Use the provided client library to call tools like getConversations() or sendMessage(), and leverage webhook handlers to trigger automated responses. For production, deploy via Docker and ensure secure HTTPS configurations using certificates from trusted authorities.

Frontapp MCP Server Features

Key Features of Frontapp MCP Server: Team Sync & Task Mastery?

Central to the server’s functionality are its:
Data management tools for conversations, contacts, and tags
Real-time event processing via Frontapp webhooks
Security measures including AES-256 encryption and signature verification
Type-safe client library with retry logic and error handling
Modular architecture enabling scalable integration with LLMs and external systems

Use Cases of Frontapp MCP Server: Team Sync & Task Mastery?

Organizations can deploy this server to:
• Automate customer support by routing inquiries based on conversation analysis
• Maintain synchronized team workflows through tagged priority alerts
• Generate dynamic reports using contact and conversation metadata
• Enforce compliance by logging all API interactions with encrypted audit trails

Frontapp MCP Server FAQ

FAQ from Frontapp MCP Server: Team Sync & Task Mastery?

Q: How do I secure my API credentials?
Use the built-in credential manager with AES-256 encryption. Run npm run generate-key to create secure encryption keys.
Q: What if Docker builds fail?
Run npm run typecheck locally to resolve TypeScript errors before rebuilding. Common issues include missing type assertions or invalid webhook handlers.
Q: Can I customize webhook events?
Yes—configure event listeners in the webhook handlers and define desired actions in the src/webhooks directory.
Q: How do I troubleshoot authentication errors?
Verify your Frontapp API token’s validity in the .env file. Ensure webhook signatures are correctly validated using the provided middleware.

Content

Frontapp MCP Server

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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
  1. Install dependencies:

    npm install

  2. Create and configure the .env file:

    cp .env.example .env

# Edit the .env file with your Frontapp API credentials
  1. 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

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