AI Customer Support Bot - MCP Server
by ChiragPatankar
This is a Model Context Protocol (MCP) server that provides AI-powered customer support. It leverages Cursor AI and Glama.ai integration to generate intelligent responses based on real-time context.
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What is AI Customer Support Bot - MCP Server?
The AI Customer Support Bot - MCP Server is a backend application designed to provide AI-driven customer support capabilities. It adheres to the Model Context Protocol (MCP) for standardized communication and integrates with Glama.ai for context retrieval and Cursor AI for response generation.
How to use AI Customer Support Bot - MCP Server?
To use the server, you need to clone the repository, configure the environment variables including API keys and database settings, install the dependencies, and run the app.py script. The server exposes several API endpoints for processing single queries, batch queries, and health checks. Authentication is required via the X-MCP-Auth header.
Key features of AI Customer Support Bot - MCP Server
Real-time context fetching from Glama.ai
AI-powered response generation with Cursor AI
Batch processing support
Priority queuing
Rate limiting
User interaction tracking
Health monitoring
MCP protocol compliance
Use cases of AI Customer Support Bot - MCP Server
Automated customer support
Intelligent chatbot integration
Real-time question answering
Handling high volumes of customer inquiries
Improving customer satisfaction
Reducing support costs
FAQ from AI Customer Support Bot - MCP Server
What is the MCP protocol?
What is the MCP protocol?
The Model Context Protocol (MCP) is a standardized protocol for communication between AI models and context providers.
What are the prerequisites for running the server?
What are the prerequisites for running the server?
You need Python 3.8+, a PostgreSQL database, Glama.ai API key, and Cursor AI API key.
How do I authenticate with the server?
How do I authenticate with the server?
You need to provide an authentication token in the X-MCP-Auth header for all MCP endpoints.
How does rate limiting work?
How does rate limiting work?
The server implements rate limiting to prevent abuse. By default, it allows 100 requests per 60 seconds.
How do I contribute to the project?
How do I contribute to the project?
You can fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.