Client MCP Server

A tool that connects Claude with GitHub repositories through the MCP protocol, supporting functions such as code analysis and deployment workflow generation

Developer tools Artificial intelligence chatbots #Code Analysis #Deployment Tool #AI Collaboration .Python

rating : 2 points

downloads : 10

update time : 2025-04-28

What is the GitHub Repository Assistant?

This tool allows you to connect Claude AI to any GitHub repository to analyze code, understand the project structure, and assist with technical tasks such as creating deployment workflows or Docker files.

Main Features

The GitHub Repository Assistant provides various functions, including code analysis, workflow generation, and containerization support, to help you manage and deploy applications more efficiently.

Functional Features

Code AnalysisAutomatically scan and parse the source code in the repository, identify potential issues, and provide improvement suggestions.

Workflow GenerationAutomatically generate workflow configuration files for deployment tools such as GitHub Actions based on project requirements.

Containerization SupportAssist in creating Dockerfiles to help you containerize applications for easy distribution and operation.

Advantages and Disadvantages Analysis

How to Use

Usage Examples

Frequently Asked Questions

Does it support private repositories?

How to handle projects with multiple programming languages?

More Resources

Project Repository

View the project's source code and documentation.

Tool Documentation

Understand the detailed guide on how to use the GitHub Repository Assistant.

🚀 GitHub Repository Assistant

A tool that uses the Model Control Protocol (MCP) to connect Claude with GitHub repositories, allowing users to analyze code and get assistance with tasks such as creating deployment workflows.

✨ Features

Clone and analyze any GitHub repository.
Interact with the repository via Claude 3.5 Sonnet.
Request deployment workflows and other code generation tasks.
Achieve seamless integration through the Streamlit front - end.
Equipped with an MCP server with specialized tools for repository interaction.

📋 Requirements

Python 3.13 or higher.
Git installed and available in the PATH.
Anthropic API key.

📦 Installation

Clone this repository:

git clone <your-repo-url>
cd <repo-directory>

Install the required dependencies:

pip install -r requirements.txt

Set your Anthropic API key in the .env file:

ANTHROPIC_API_KEY=your_api_key_here

💻 Usage Examples

Basic Usage

Start the Streamlit application:

streamlit run app.py

In the sidebar, connect to the MCP server by entering the path to the server.py file in the "Server script path" field and clicking "Connect to server".
Enter a GitHub repository URL (e.g., https://github.com/deploypilotorg/example-repo), then click "Analyze repository".
Once the repository is analyzed, you can interact with it by asking questions or requesting the following tasks:

"What files are in this repository?"
"What is the purpose of the main.py file?"
"Create a GitHub Actions deployment workflow for this code."
"Generate a Dockerfile for this application."

🔧 Technical Details

The application uses the Model Control Protocol (MCP) to enable Claude to interact with GitHub repositories through specialized tools:

The MCP server (server.py) provides tools for cloning, analyzing, and reading GitHub repositories.
The Streamlit front - end (app.py) provides a user - friendly interaction interface.
Claude uses the provided tools to understand the repository structure and generate relevant responses.

⚠️ Limitations

Currently, only public GitHub repositories are supported.
Cloning and analyzing large repositories may take longer.
The generated deployment workflows may need to be manually adjusted according to specific requirements.