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MCP Server

@devhysterical

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

devhysterical

关于 MCP Server

暂无概览

#mcp-server#model-context-protocol#api-server

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": {
    "mcp-server-devhysterical": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

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 MCP Server?

MCP Server implements the Model Context Protocol (MCP), enabling large language models (LLMs) to interact with external tools and services through a standardized interface.

How to use MCP Server?

Clone the repository, create and activate a Python virtual environment (Python 3.8+), install dependencies with pip install -r requirements.txt, then run python main.py. The server starts at http://localhost:8000. Use its RESTful API endpoints: a GET at / for server info and tool list, or a POST at /execute to invoke tools with JSON parameters.

Key features of MCP Server

  • Supports multiple tools: calculator, weather, search
  • RESTful API built with FastAPI
  • Data validation with Pydantic
  • Efficient asynchronous processing
  • Automatic API documentation via Swagger UI at /docs

Use cases of MCP Server

  • Allow an LLM to perform real-time calculations
  • Fetch current weather data for a location
  • Execute web searches through an LLM interface
  • Extend the server with custom tools for new integrations

常见问题

1

What is MCP Server?

MCP Server is a server that implements the Model Context Protocol, providing a standardized way for LLMs to use external tools and services.

2

What are the system requirements?

Python 3.8 or above and the pip package manager.

3

How do I run the server?

After installing dependencies, run `python main.py`. The server will be available at `http://localhost:8000`.

4

How can I add a new tool?

Add the tool’s name and description to the `SUPPORTED_TOOLS` dictionary, then add a handler function in `process_tool_request` and create a dedicated function for the new tool.

5

Where can I view the API documentation?

Access `http://localhost:8000/docs` to see the auto-generated Swagger UI documentation.

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