A dedicated MCP (Model Context Protocol) tool for github, The MCP (Model Context Protocol) Tool for GitHub is a Python-based solution designed to help manage and track machine learning model context directly within GitHub repositories.
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Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"github-mcp-tool": {
"command": "<see-readme>",
"args": []
}
}
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The MCP (Model Context Protocol) Tool helps manage and track model context in GitHub repositories. It allows you to document important details like model versions, datasets, metrics, and training configurations.
No automated test available for this server. Check the GitHub README for setup instructions.
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The MCP (Model Context Protocol) Tool helps manage and track model context in GitHub repositories. It allows you to document important details like model versions, datasets, metrics, and training configurations.
The MCP Tool for GitHub is designed to help manage:
git_info(username: str)
create_repo(repo_name: str, private: bool, description: str)
delete_repo(username: str, repo_name: str)
create_file(...)
update_file(...)
delete_file(...)
make_request(...)
GET, POST, PUT, DELETE)..env file.User-Agent, Accept, Authorization).httpx.Create a .env file in the root directory and add:
GITHUB_TOKEN=your_personal_access_token_here
# Clone the Repo
git clone https://github.com/jalaj-pandey/github-mcp-tool.git
# Change Directory
cd github-mcp-tool
# Initialize virtual environment using uv
uv init
uv venv
.venv/Scripts/activate # Use `source ./venv/bin/activate` on Unix/Mac
# Add dependencies
uv add mcp[cli] httpx python-dotenv
# Start MCP dev server
mcp dev main.py