Search public GitHub repositories by keyword to uncover market trends and competitive insights. Retrieve sorted, paged repository results in clean JSON for analysis.
Enables LLMs to securely read, search, and analyze local file systems through the Model Context Protocol. Provides tools for listing files, pattern-based searching, and reading file contents with built-in security validation.
Fetch a GitHub user's public repositories to assess their tech stack and open-source contributions. Supports pagination, sorting, and filtering to provide clean structured data for any username.
Find GitHub repositories by search query and retrieve matching project details. Use this to locate open-source code or specific repositories for your AI workflows.
Lists indexed repositories with optional name filter, revealing metadata like build system, language, and file counts. Use first to discover available codebases before deeper exploration.
Fetch a GitHub user's public profile and repositories to ground resume advice in real activity. Returns profile summary, stars, language, and dates for each repo.
Retrieve GitHub organization profile, top repositories by stars, tech stack distribution, and recent activity signals for due diligence and competitive analysis.
Compare GitHub repositories for contributor-friendliness by analyzing stars, PR merge rates, and activity to determine which is better for contributions.
List GitHub repositories for an organization or authenticated user, returning names, descriptions, language, stars, and open issues, sorted by most recently pushed.