What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, similar to a USB-C port for AI applications.
@alejandro-ao
基本信息
A simple MCP server to search for documentation (tutorial)
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-example": {
"command": "uv",
"args": [
"init",
"mcp-server"
]
}
}
}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。
MCP Server Example is an educational implementation of a Model Context Protocol (MCP) server that demonstrates how to build functional MCP servers for integration with LLM clients. It is intended for developers learning to expose data and tools through the standardized MCP protocol using Python.
Install the uv package manager, create a project with uv init mcp-server, activate the virtual environment, install dependencies with uv add "mcp[cli]" httpx, and create main.py. Run the server with uv run main.py. Then configure an MCP host like Claude Desktop by editing its configuration file to point to the server using the uv command and absolute path to the project directory.
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, similar to a USB-C port for AI applications.
Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the `uv` package manager.
Install Claude Desktop, then edit `~/Library/Application Support/Claude/claude_desktop_config.json` to include a server entry with `command: "uv"` and `args` containing `--directory`, the absolute path to your project, `run`, and `main.py`. Restart Claude Desktop.
The server can expose three main types of MCP capabilities: Resources (file-like data), Tools (callable functions), and Prompts (pre-written templates).
Check the configuration file path and permissions, verify the absolute path is correct, ensure `uv` is installed and accessible, and review Claude Desktop logs for error messages.
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