AI Customer Support Bot - MCP Server
@ChiragPatankar
About AI Customer Support Bot - MCP Server
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"AI-Customer-Support-Bot---MCP-Server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tools
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Overview
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 – 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 built‑in health monitoring and rate limiting
- Use as a backend for AI‑powered FAQ or ticket‑routing systems
FAQ from AI Customer Support Bot - MCP Server
What are the runtime dependencies of AI Customer Support Bot - MCP Server?
It requires Python 3.8+, a PostgreSQL database (for persistent data), and access to an AI service such as OpenAI or Anthropic. The framework is AI‑agnostic, so you can plug in any provider.
How does authentication work in AI Customer Support Bot - MCP Server?
The server uses token‑based authentication. Every request must include the X-MCP-Auth header with your secret token (configured via the SECRET_KEY environment variable).
Can I use my own AI provider with AI Customer Support Bot - MCP Server?
Yes. The server is AI‑agnostic. You can install any AI SDK (e.g., openai), add the corresponding API key and model to your .env file, and implement the AI integration in the service layer.
What monitoring and observability does AI Customer Support Bot - MCP Server provide?
It includes health metrics (uptime, database connectivity, request rates, response times, memory usage) and structured logging with timestamps, request IDs, and processing times.
What license is AI Customer Support Bot - MCP Server released under?
It is licensed under the MIT License.
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