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AI Customer Support Bot - MCP Server

@ChiragPatankar

Basic information

Category

Data & Analytics

License

MIT

Transports

stdio

Author

ChiragPatankar

About AI Customer Support Bot - MCP Server

No overview available yet

#ai-customer-support#mcp-server#customer-service-bot

AI Customer Support Bot - MCP Server 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"
      ]
    }
  }
}

AI Customer Support Bot - MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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 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 builtโ€‘in health monitoring and rate limiting
  • Use as a backend for AIโ€‘powered FAQ or ticketโ€‘routing systems

Frequently asked questions

1

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 AIโ€‘agnostic, so you can plug in any provider.

2

How does authentication work in AI Customer Support Bot - MCP Server?

The server uses tokenโ€‘based authentication. Every request must include the `X-MCP-Auth` header with your secret token (configured via the `SECRET_KEY` environment variable).

3

Can I use my own AI provider with AI Customer Support Bot - MCP Server?

Yes. The server is AIโ€‘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.

4

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.

5

What license is AI Customer Support Bot - MCP Server released under?

It is licensed under the MIT License.

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