Github Mcp Tool
What is Github Mcp Tool
The github-mcp-tool is a dedicated MCP (Model Context Protocol) tool designed for GitHub. It is a Python-based solution that helps manage and track machine learning model context directly within GitHub repositories.
Use cases
Use cases for the github-mcp-tool include managing machine learning projects, documenting model training processes, tracking changes in datasets, and ensuring reproducibility of experiments within GitHub repositories.
How to use
To use the github-mcp-tool, clone the repository using ‘git clone’, navigate to the directory, initialize the environment, activate the virtual environment, and install the required packages using ‘pip’. Finally, run the main script with ‘mcp dev main.py’.
Key features
Key features of the github-mcp-tool include tracking model versions, managing dataset information, recording performance metrics, documenting training configurations, and seamless integration with GitHub.
Where to use
The github-mcp-tool can be used in fields such as machine learning, data science, and software development, particularly where version control and documentation of models are essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Github Mcp Tool
The github-mcp-tool is a dedicated MCP (Model Context Protocol) tool designed for GitHub. It is a Python-based solution that helps manage and track machine learning model context directly within GitHub repositories.
Use cases
Use cases for the github-mcp-tool include managing machine learning projects, documenting model training processes, tracking changes in datasets, and ensuring reproducibility of experiments within GitHub repositories.
How to use
To use the github-mcp-tool, clone the repository using ‘git clone’, navigate to the directory, initialize the environment, activate the virtual environment, and install the required packages using ‘pip’. Finally, run the main script with ‘mcp dev main.py’.
Key features
Key features of the github-mcp-tool include tracking model versions, managing dataset information, recording performance metrics, documenting training configurations, and seamless integration with GitHub.
Where to use
The github-mcp-tool can be used in fields such as machine learning, data science, and software development, particularly where version control and documentation of models are essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Tool for GitHub
Overview
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.
Features
- Track model versions
- Manage dataset information
- Record performance metrics
- Document training configurations
- Seamless GitHub integration
Installation
pip install -r requirements.txt
Prerequisites
- Python 3.7+
gitandpip
Steps
- Clone the repository:
git clone https://github.com/jalaj-pandey/github-mcp-tool.git cd github-mcp-tool uv init ./venv/Scripts/activate pip install "mcp[cli]" mcp dev main.py
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
