Enables repository analysis, issue management, pull request operations, code search, and branch/commit operations for GitHub repositories
Leverages Gemini's AI capabilities for intelligent code analysis, suggestions, automated documentation generation, code review assistance, bug detection, and architecture recommendations
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@GitHub-Gemini MCP Server analyze the main.py file in my repo for potential bugs"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An advanced Model Context Protocol (MCP) server that integrates GitHub with Google Gemini API for intelligent code assistance and repository management.
Intelligent Code Analysis: Leverages Gemini's advanced reasoning capabilities to analyze code patterns and suggest improvements
Context-Aware Assistance: Uses GitHub repository context to provide better code suggestions and documentation
Function Calling: Intelligent tool selection for GitHub operations (issues, PRs, code search, etc.)
Structured Output: JSON responses for integration with other tools
Code Execution: Dynamic code analysis and execution for testing suggestions
Thinking Mode: Deep reasoning for complex coding problems
Context Caching: Efficient handling of large repositories with automatic caching
Related MCP server: GitHub MCP Server
pip install -r requirements.txtCreate a .env file with your API keys:
GEMINI_API_KEY=your_gemini_api_key
GITHUB_TOKEN=your_github_personal_access_tokenRun the MCP server:
python -m github_gemini_mcpRepository analysis and navigation
Issue management and automation
Pull request operations
Code search and discovery
Branch and commit operations
Intelligent code suggestions
Automated documentation generation
Code review assistance
Bug detection and fixing
Architecture recommendations
The server combines:
GitHub API integration for repository operations
Gemini 2.5 models for advanced reasoning
Function calling for intelligent tool selection
Context caching for performance optimization
Structured output for reliable integration
MIT License
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