AI Customer Support Bot MCP Server

🚀 AI Customer Support Robot - MCP Server

An AI-driven customer support Model Context Protocol (MCP) server integrated with Cursor AI and Glama.ai.

🚀 Quick Start

This is an AI-driven customer support Model Context Protocol (MCP) server that integrates Cursor AI and Glama.ai. It offers real - time context retrieval, AI - driven response generation, and various other features.

✨ Features

• Retrieve context from Glama.ai in real - time.
• Generate AI - driven responses using Cursor AI.
• Support batch processing.
• Implement priority queues.
• Apply rate limiting.
• Track user interactions.
• Provide health monitoring.
• Comply with the MCP protocol.

📦 Installation

Prerequisites

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

Steps

1. Clone the repository:

git clone <repository-url>
cd <repository-name>

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Create a .env file based on .env.example:

cp .env.example .env

5. Configure your .env file using the following example:

# Example environment variable configuration
DATABASE_URL=postgresql://user:password@localhost/dbname
API_KEY=your_api_key_here
MCP_SERVER_ADDRESS=http://localhost:8080

6. After installation, start the server:

python app.py

📚 Documentation

Configuration

All MCP endpoints require authentication via the X - MCP - Auth header.

Usage Instructions

1. Update mcp_config.py to add new configuration options.
2. If you need to add a new model, add it in models.py.
3. Create new endpoints in app.py.
4. Update the feature endpoints to reflect new features.

Notes

⚠️ Important Note

• All MCP endpoints require authentication via the X - MCP - Auth header.
• Rate limiting is implemented to prevent abuse.
• Keep database credentials secure.
• Do not commit API keys to version control.

Health Monitoring

The server provides endpoints for monitoring:

• Service status
• Rate limit usage
• Connected services
• Processing time

Error Handling

Possible Error Codes

Contribution Guidelines

1. Fork the repository.
2. Create a feature branch.
3. Commit your changes.
4. Push to the branch.
5. Create a pull request.

📄 License

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

💡 Support

For support, create an issue in the repository or contact the development team.