AI Customer Support Bot - MCP Server

@ChiragPatankar

代码仓库

基本信息

分类

数据与分析

许可证

MIT

传输方式

stdio

作者

ChiragPatankar

关于 AI Customer Support Bot - MCP Server

暂无概览

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

AI Customer Support Bot - MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "AI-Customer-Support-Bot---MCP-Server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

AI Customer Support Bot - MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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