"An overview or guide to GitHub Actions" matching MCP servers:

Enables fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

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.

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.

Provides 42+ specialized tools for nutrition analysis integrating Canada's Food Guide recipes with Health Canada's official databases (CNF, DRI, EER) for recipe discovery, macro calculations, energy requirements, and dietary adequacy assessments.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

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

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

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.

An MCP server that delivers research papers to your e-reader, using Zotero as the source of truth. Allows searching, queuing, and sending papers to Kindle, PocketBook, or Kobo.

Enables an LLM to search and research Goodreads books, ratings, and reviews using public data, without login or writes.

An MCP server for downloading academic papers from multiple sources using intelligent routing and year-aware priority selection. It enables users to retrieve metadata and download single or batch PDFs by DOI or URL.

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.

Checks whether a citation has been retracted, corrected, or flagged with an expression of concern by querying Crossref — including retractions that Crossref backfills from the Retraction Watch database, which publishers often never record in their own metadata. Lets an AI agent verify a DOI, or every DOI in a reference list, before using it in research or writing.

Enables LLM agents to query and analyze hh.ru job vacancies via full-text and semantic search, with tools for vacancy lookup, skill statistics, market overview, and candidate profile comparison.

Connects Claude to OpenReview to facilitate conference reviewer and area chair workflows through the Model Context Protocol. It enables users to manage paper assignments, read submissions and reviews, and perform write actions like submitting reviews or comments using a preview-and-confirm system.

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

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.

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

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 MCP clients to query the IndeCX public API for survey data, including actions, questionnaires, answers, invites, non-respondents, categories, blocklists, and branches.

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

Provides 17 research tools for comprehensive company intelligence, covering aspects like overview, products, financials, and competitors. Supports both natural language answers and structured JSON output for automation.