GitHub Analytics MCP — Repo & Trend Research
Repo statistics, trending lookups, code-search queries, and dev-trend aggregation. For AI agents that need to evaluate libraries, monitor competitor projects, or surface emerging open-source tools. Distinct from the Developer Tools MCP — this one is GitHub-specific and goes deeper on repo analytics.
https://github-mcp-server--nexgendata-apify.run.tools
How to connect
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Smithery (hosted)
1. Open https://smithery.ai/servers/nexgendata-apify/github-mcp-server 2. Click Connect and complete OAuth in your MCP client (Claude, Cursor, VS Code, etc.) 3. MCP endpoint: https://github-mcp-server--nexgendata-apify.run.tools
Tools (4)
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get_repo_statsFetch comprehensive statistics for a specific GitHub repository. Returns total stars, forks, issues (open/closed), pull requests, watchers, last commit date, and contributor count. Returns metrics useful for assessing project popularity and maintenance status.
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search_reposSearch across GitHub for repositories matching keywords, sorted by relevance or metrics. Returns matching repositories with description, star count, language, and last update timestamp. Use for finding projects, libraries, or code samples related to specific topics.
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get_repo_languagesAnalyze the programming language composition of a GitHub repository. Returns percentage breakdown of languages used, dominant language, and file counts per language. Use for understanding project tech stack or evaluating language distribution.
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compare_reposCompare multiple GitHub repositories side-by-side with key metrics. Returns star counts, fork counts, issues, primary language, and comparative analysis for each repository. Use for choosing between similar projects or analyzing competitive landscape.