Frontapp
Createdzqushair
Integrates Large Language Models with Frontapp's customer communication platform via a Model Context Protocol (MCP) server.
About
This project provides an MCP server acting as a bridge between Large Language Models (LLMs) and Frontapp, a customer communication platform. It allows LLMs to access and manipulate Frontapp data such as conversations, contacts, and tags, enabling automation of workflows through natural language commands. The server is designed to support real-time updates and event-driven automation by leveraging webhooks from Frontapp.
Key Features
- Manages Frontapp conversations, contacts, tags, inboxes, and users
- Integrates with Frontapp webhooks for real-time updates
- Provides secure credential storage using AES-256 encryption
- Supports HTTPS for secure communications
- Offers a TypeScript client library for easy integration with LLMs
Use Cases
- Automating customer support workflows with LLMs
- Enriching customer conversations with LLM-generated insights
- Dynamically updating Frontapp data based on LLM analysis
