What can Flash-GitHub do?
It offers tools for searching, creating, reading, listing, and syncing GitHub repositories, as well as comparing local directories with remote repositories.
@ruilacerda
基本信息
A GitHub API integration server using the MCP (Message Control Protocol) framework
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"flash-github": {
"command": "python",
"args": [
"flash-github.py"
]
}
}
}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。
Flash-GitHub is a GitHub API integration server built on the MCP (Message Control Protocol) framework. It provides a standardized, tool-based interface for common GitHub repository operations such as searching, creating, reading content, and syncing local directories with remote repositories. The server is intended for developers and automation workflows that need programmatic GitHub access through MCP.
Install dependencies with pip install -r requirements.txt, then create a .env file containing your GitHub API token (GITHUB_API_TOKEN=your_github_token_here). Run the server with python flash-github.py to expose the available tools.
It offers tools for searching, creating, reading, listing, and syncing GitHub repositories, as well as comparing local directories with remote repositories.
Python 3 and the packages listed in `requirements.txt`; a GitHub API token stored in a `.env` file.
All repository data resides on GitHub; the server only acts as an intermediary via the GitHub API. Local directories are used for pull/push/compare operations.
The README specifies using a GitHub API token (set via the `GITHUB_API_TOKEN` environment variable) for authentication. Transport details are not given beyond the MCP framework.
The README does not mention any limits or restrictions beyond requiring a valid GitHub API token.
A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language.
Yuque mcp server
GitHub's official MCP Server
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).
评论