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MCP Server

@santhoshkamalmurthy

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

santhoshkamalmurthy

关于 MCP Server

暂无概览

#mcp-server#ai-integration#server-implementation

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-demo-santhoshkamalmurthy": {
      "command": "uv",
      "args": [
        "init",
        "."
      ]
    }
  }
}

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 is an implementation that provides integration with various AI services and tools via the Model Context Protocol. It is intended for developers who need to connect MCP-compatible clients to AI services.

How to use MCP Server?

Install Python 3.8+, uv (Universal Virtualenv), then run uv init . and uv add mcp[cli]. Configure the server in a JSON object under mcpServers with the command uv run --with mcp[cli] mcp run /path/to/main.py. Start the server with uv run mcp run main.py.

Key features of MCP Server

  • Integration with various AI services and tools
  • Uses the Model Context Protocol (MCP)
  • Configurable via JSON configuration object
  • Runs with Python 3.8+ and uv

Use cases of MCP Server

  • Connecting AI service tools to MCP‑compatible clients
  • Running a local MCP server for custom AI workflows

常见问题

1

What are the prerequisites?

Python 3.8 or later and uv (Universal Virtualenv) are required.

2

How do I install the server?

Initialize with `uv init .`, add `mcp[cli]` via `uv add mcp[cli]`, then run `uv run mcp install main.py`.

3

How do I configure the server?

Edit the JSON configuration object, setting the `command`, `args`, and `mcpServers` fields as shown in the README.

4

How do I start the server?

Run `uv run mcp run main.py` from the project directory.

5

What clients is the server compatible with?

The server is designed to work with any MCP‑compatible client.

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