"GitHub MCP server" matching MCP servers:

MCP server for the Mamba Labs GitHub Organization Signal Scanner actor on Apify. Resolve a company domain to its GitHub organization with repo, language and activity signals.

Aggregates tech and AI signals from HackerNews, arXiv, Lobste.rs, and GitHub into a structured briefing. No authentication required.

Enables AI agents to run research queries across multiple public sources (Hacker News, Reddit, GitHub, Brave Search) in parallel, returning normalized results.

Collects and returns reference materials for CVE write-ups from sources like NVD, CIRCL, OSV, EPSS, and GitHub Advisory.

Enables evidence-grounded implementation research by searching GitHub, scoring candidate repositories, extracting source evidence, and generating planning artifacts like research and implementation checklists.

An MCP server that fetches, dedupes, and scores women's-health & FemTech research and industry news, designed to feed GitHub Agentic Workflows and an auto-updating Astro + RSS site.

MCP server that scans daily AI innovation sources (arXiv, Hacker News, GitHub) and normalizes discoveries into actionable Skill Sheets for domains like code, design, HR, agents.

An MCP server that provides AI agents with access to over 20 knowledge sources including arXiv, GitHub, YouTube, Wikipedia, and more for reading and searching content.

MCP server that helps coding agents research and prepare GitHub contributions by gathering repository guidance, related work, code context, and validation evidence into a local SQLite corpus, without ever writing to GitHub.

Enables AI agents to run multi-channel searches across GitHub, Hacker News, Bilibili, Juejin, Exa, and optionally arXiv, then fetch and read original sources such as webpages as Markdown, GitHub PR reviews and inline comments, embedded chart data, and Bilibili fallback content. It reports partial results, failed channels, truncation, and coverage so agents can decide whether to search again or paginate.

openGlad is an MCP server that provides AI agents with tools for loss-prevention, market intelligence, and startup diagnostics using data from Reddit, Hacker News, GitHub, and Polymarket.

Open source intelligence for AI agents — GitHub project-health scoring, package dependency-risk analysis, trending repositories, license checks, and side-by-side package comparison.

Audits GitHub repos and profiles for hiring signal, providing tools audit_repo and recruiter_scan for use with MCP clients.

Processes documents, analyzes GitHub repositories, and researches companies using local Gemma3 AI to extract structured business insights for generating compelling case studies.

Provides GitHub open-source intelligence via MCP tools for discovering trends, evaluating repository health, comparing projects, and analyzing users, issues, and releases. It includes a CLI and can be used with AI assistants like Claude or Cursor.

Enables AI to perform fast, multi-source web searches and research through tools for web, social, news, GitHub, and document analysis.

Provides unified access to vulnerability data from NVD, MITRE, and GitHub Security Advisories for cybersecurity intelligence.

Enables agents to scan GitHub supply and Google search demand evidence, inspect repositories, compare projects, and manage watchlists via MCP tools.

A high-performance server for analyzing GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking.

Enables read-only access to Google Analytics 4, Google Search Console, BigQuery saved queries, GitHub repository data, and Metricool status for SEO/SEM monitoring and analysis.

Enables personal data analysis and insights using AI agents across Spotify, GitHub, finances, fitness, and journal entries.

Enables discovery and analysis of research ecosystems by extracting metadata from paper URLs, GitHub repositories, and research names. Automatically finds related papers, code repositories, models, datasets, and authors across platforms like arXiv, HuggingFace, and GitHub.

56 pay-per-call MCP endpoints for AI agents. Market signals, macro economics, crypto/DeFi, geopolitical intelligence, SEC filings, GitHub velocity, sanctions screening. USDC on Base Mainnet via x402.

Startup engineering acceleration signals for VC investors. Tracks commit velocity, contributor growth, and repo expansion across 20 sectors via public GitHub data. No API key required.

AI-powered code assistant that provides advanced search and discovery capabilities across GitHub and NPM ecosystems, helping users understand code patterns, implementations, and connections between repositories.

GitHunt MCP gives AI assistants access to developer talent-discovery engine. Search a pool of millions of GitHub developers by location, role, and skills; pull a single developer's ranked profile, or run deep analysis on a candidate. Results come back ranked by fit with transparent scoring, experience, commit activity, OSS contributions and the contact info, so an agent can build a shortlist.

Enables users to estimate employee count bands for company domains by aggregating LinkedIn company size from Google results, Wikidata, and homepage declarations. Returns source, confidence score, and optional GitHub member and open-job context.

Analyzes startup ideas against 6 sources (GitHub, HN, npm, PyPI, Google, Reddit) with LLM-powered intent parsing to assess competition, demand, and gaps.

For AI agents and humans: Discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. Compute S-Index impact metrics combining citation data from Semantic Scholar and Google Scholar with code and dataset quality scores from GitHub and Figshare.

MCP server pulling academic publications (arXiv, PubMed, HF Daily Papers), trending code (GitHub, HF Hub), and medical-device regulatory data (FDA 510(k), recalls) into newspaper-style briefings. Per-category round-robin, weighted configuration, sandbox-safe Python launcher.

Delivers comprehensive company intelligence in a single tool call, aggregating profiles, tech stacks, key people, news, and corporate data from any domain or company name. Sources data from Wikipedia, GitHub, OpenCorporates, and web scraping to provide structured business insights using only free public APIs.

An MCP server for college placement cells to analyze student profiles from bulk Excel data, search students, and access evidence-backed skill intelligence from resumes, GitHub, LeetCode, and portfolios. It provides tools for skill gap analysis and profile completeness evaluation.

Pre-build reality check for AI coding agents — searches 5 real databases (GitHub, Hacker News, npm, PyPI, Product Hunt) to check whether an idea already exists before you build it.

Collect primary sources through GitHub Actions and retrieve portable research packages with capture hashes, provenance ledgers, and explicit review requirements. The stdio MCP server exposes collect and fetch_corpus.

Enables real-time arXiv paper discovery, structured research briefs, and automated mapping to GitHub code implementations through MCP tools, resources, and prompts.

Enables searching and gathering information from multiple online sources (web, Twitter/X, Telegram, GitHub, Hugging Face, arXiv) through a unified MCP interface.

Lets any MCP client call SWARM's live services — GitHub code-health scans, researched summaries and reports, and everyday utilities — paying per call in USDC on Base with no account or API key. Payments are metered by a spend cap and only settled after the work succeeds.

Answers questions about public tech companies’ AI-infrastructure spending using real SEC EDGAR filings, returning traceable values with sources and derivations. It also detects filing inconsistencies and can draft or file data-quality GitHub issues with supporting evidence.

Enables plain-English description of training data needs to search Hugging Face and GitHub, composing coverage-scored training packs without API keys or Bridge.

Provides cached, structured snapshots of recent CVEs and GitHub Security Advisories, enabling AI agents to lookup CVEs, find vulnerabilities for a package by ecosystem, list recent critical CVEs, and get severity summaries.