GitHub Portfolio
Enables fetching public repositories for a given GitHub username, returning curated data optimized for LLM context windows.
What is GitHub Portfolio?
GitHub Portfolio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables fetching public repositories for a given github username, returning curated data optimized for llm context windows.
Enables fetching public repositories for a given GitHub username, returning curated data optimized for LLM context windows.
This server falls under the Analytics and Version Control categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables fetching public repositories for a given GitHub user
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx github-portfolioConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about GitHub Portfolio
What is GitHub Portfolio?
GitHub Portfolio is a Model Context Protocol (MCP) server that enables fetching public repositories for a given github username, returning curated data optimized for llm context windows. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install GitHub Portfolio?
Follow the installation instructions on the GitHub Portfolio GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with GitHub Portfolio?
GitHub Portfolio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is GitHub Portfolio free to use?
Yes, GitHub Portfolio is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
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Set Up GitHub Portfolio in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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