Provides a Model Context Protocol server enabling seamless integration and debugging of AI tools via stdio, supporting OAuth workflows and enhanced development with a dedicated Inspector for efficient troubleshooting.
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First, let’s install uv and set up our Python project and environment:
MacOS/Linux : curl -LsSf https://astral.sh/uv/install.sh | sh Windows : powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Make sure to restart your terminal afterwards to ensure that the uv command gets picked up.
Now, let’s create and set up our project:
For Windows : code $env:AppData\Claude\claude_desktop_config.json For Mac/Linux :code ~/Library/Application\ Support/Claude/claude_desktop_config.json
{ "mcpServers": { "Github-Oauth": { "command": "C:\\Users\\Hp\\.local\\bin\\uv", "args": [ "--directory", "C:\\Users\\Hp\\Github-Oauth\\src\\github_oauth", "run", "server.py" ] } } }
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm
with this command:
npx @modelcontextprotocol/inspector uv --directory C:\Users\Hp\Github-Oauth run github-oauth
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
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