What is AI Customer Support Bot - MCP Server?
A Model Context Protocol (MCP) compliant server framework for building AI-powered customer support systems. It is built with modern Python, features a clean layered architecture, and is designed for developers who want intelligent support without vendor lock-in.
How to use AI Customer Support Bot - MCP Server?
Clone the repository, create a Python virtual environment, install dependencies, copy .env.example to .env and configure your database URL, secret key, and rate limits. Create a PostgreSQL database, then run python app.py to start the server on http://localhost:8000. Interact via endpoints like POST /mcp/process (single query) or POST /mcp/batch (batch processing), using X-MCP-Auth for token authentication.
Key features of AI Customer Support Bot - MCP Server
- Clean architecture with clear separation of concerns
- Full MCP (Model Context Protocol) compliance
- Production ready with auth, rate limiting, and monitoring
- High performance using FastAPI with async support
- AI agnostic โ integrate any AI provider easily
- Secure by default with token auth and input validation
- Batch processing for handling multiple queries efficiently
Use cases of AI Customer Support Bot - MCP Server
- Build a customized AI customer support chatbot for your website or app
- Process multiple customer queries concurrently with batch endpoints
- Integrate with any AI service (OpenAI, Anthropic, etc.) without vendor lock-in
- Deploy as a microservice with builtโin health monitoring and rate limiting
- Use as a backend for AIโpowered FAQ or ticketโrouting systems
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