What are the runtime requirements?
Python 3.10+ and the `uv` package manager for environments and packages.
@ryanbrito
基本信息
暂无概览
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": [
"venv",
".venv"
]
}
}
}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。
This is a tutorial repository demonstrating how to create an MCP (Model Context Protocol) server using the official Microsoft SDK in Python. It defines tools with @tool decorators that can be consumed by LLMs like ChatGPT or Open WebUI.
Install dependencies with uv add mcp mcp[cli] mcpo, then run locally with mcp run main.py or mcpo --port 8000 -- .venv/bin/python main.py for HTTP mode. Tools are defined in main.py.
@tool decorator to expose functions to LLMsPython 3.10+ and the `uv` package manager for environments and packages.
Use `mcpo --port 8000 -- .venv/bin/python main.py`; documentation appears at http://localhost:8000/docs.
After starting the server with mcpo, go to Open WebUI settings > Tools and insert the URL http://localhost:8000.
They appear in OpenAPI documentation and are used by the AI to decide which function to call based on the user's query.
The server supports stdio transport for local use (via `mcp run` or `python main.py`) and HTTP transport via mcpo for REST API access.
A GitHub MCP Server extension for Zed
Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from https://github.com/nguyenvanduocit/all-in-one-model-context-protocol
MCP server for getting github trending repos & developers

Model Context Protocol Servers
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