AI-Customer-Support-Bot--MCP-Server

AI-Customer-Support-Bot--MCP-Server

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The AI Customer Support Bot is a Model Context Protocol (MCP) server that enhances customer support by integrating AI-powered response generation using Glama.ai and Cursor AI. It features real-time context fetching, priority queuing, rate limiting, and health monitoring, providing a comprehensive support solution.

AI Customer Support Bot - MCP Server

A Model Context Protocol (MCP) server that provides AI-powered customer support using Cursor AI and Glama.ai integration.

Features

  • 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

Prerequisites

  • Python 3.8+
  • PostgreSQL database
  • Glama.ai API key
  • Cursor AI API key

Installation

  1. Clone the repository and navigate to it.
  2. Create and activate a virtual environment.
  3. Install dependencies.
  4. Create and configure your .env file with your credentials.
  5. Set up the database by creating it and running migrations.

Running the Server

Start the server and it will be available at http://localhost:8000.

API Endpoints

  1. Root Endpoint: Returns basic server information.
  2. MCP Version: Returns supported MCP protocol versions.
  3. Capabilities: Returns server capabilities and supported features.
  4. Process Request: Processes a single query with context.
  5. Batch Processing: Processes multiple queries in a single request.
  6. Health Check: Checks server health and service status.

Rate Limiting

  • 100 requests per 60 seconds.
  • Rate limit info in health check. Exceeds returns reset time.

Error Handling

Structured error responses with specific error codes and messages.

Security

Authentication required, rate limiting, secure database credentials, secure API keys.

Monitoring

Health check endpoints for monitoring service status, rate limit usage, and processing times.

Contributing

  1. Fork, create feature branch, commit changes, push, and create Pull Request.

License

MIT License.