legacy_client_mcp_server
A tool that uses the MCP (Model Control Protocol) to connect Claude with GitHub repositories, allowing users to analyze code and get assistance with tasks like creating deployment workflows.
The GitHub Repository Assistant is a powerful tool designed to facilitate interaction between Claude, an advanced language model, and GitHub repositories. By leveraging the Model Control Protocol (MCP), this tool allows users to clone, analyze, and interact with repositories directly through a user-friendly Streamlit interface. It supports tasks such as generating deployment workflows and other code-related tasks, making it an invaluable resource for developers looking to streamline their workflow. The tool requires Python 3.13 or higher, Git, and an Anthropic API key to function. It is particularly useful for analyzing public GitHub repositories and generating code artifacts like Dockerfiles and GitHub Actions workflows.
Features
- Clone and analyze any GitHub repository
- Interact with repositories through Claude 3.5 Sonnet
- Request deployment workflows and other code generation tasks
- Seamless integration via Streamlit frontend
- MCP server with specialized tools for repository interaction
MCP Tools
- Repository Cloning Tool: Allows the cloning of GitHub repositories for analysis.
- Code Analysis Tool: Analyzes the structure and content of the repository.
- Deployment Workflow Generator: Generates deployment workflows based on repository content.
Usage with Different Platforms
streamlit
python
streamlit run app.py
Frequently Asked Questions
Does the tool support private repositories?
Currently, the tool only supports public GitHub repositories.
What should I do if a generated workflow needs adjustments?
Generated deployment workflows may need manual adjustments based on specific requirements.
How long does it take to analyze a repository?
The time taken to analyze a repository depends on its size; larger repositories may take longer.
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