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Github MCP Tool
The MCP tool is a tool for managing model context in GitHub repositories, supporting version tracking, dataset management, performance recording, and documentation of training configurations.
rating : 2 points
downloads : 7.6K
What is the MCP Tool?
The Model Context Protocol (MCP) tool helps teams maintain an organized record of machine learning models in GitHub repositories and track important information such as model versions, used datasets, performance metrics, and training configurations.How to Use the MCP Tool?
After installation, you can use simple commands to document your models. The tool integrates with GitHub, keeping your model information in sync with your code.When to Use the MCP Tool?
Suitable for machine learning teams that need to track model evolution, maintain reproducibility, and share model information among team members.Features
Model Version Control
Dataset Management
Performance Metrics
Reproducibility
Frequently Asked Questions
Do I need a developer background to use this tool?
Can it be used for repositories not on GitHub?
How is this tool different from MLflow or other machine learning tracking tools?
Additional Resources
GitHub Repository
Source code and issue tracker
Python Package Index
PyPI package information
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