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170,171 tools. Last updated 2026-06-04 00:36

"A server for finding research papers, extracting content, and retrieving relevant repository codes" matching MCP tools:

  • Search arXiv papers with advanced filtering by query, category, date, and author to find relevant academic research efficiently.
    Apache 2.0
  • Search the web for current information, news, articles, and websites to find up-to-date content, research topics, or answer questions about recent events.
    Apache 2.0
  • Search academic papers and preprints on arXiv to find research papers, scientific studies, and technical literature across fields like AI, physics, and mathematics.
    Apache 2.0
  • Search the bioRxiv preprint server for biology papers using queries, date ranges, and category filters to find relevant research.
    MIT

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    Combines Naver DataLab trends, blog/news search, translation, and Unsplash images into a single research pipeline for content creators. Generates comprehensive research reports from a single query.
    Last updated

Matching MCP Connectors

  • MCP server for social media and content data including social profiles, engagement metrics, content trends, and influencer analytics for AI agents.

  • ISO country/language/currency/script code lookups (Debian iso-codes JSON)

  • Search the medRxiv preprint server for medical research papers using queries, date ranges, and category filters to find relevant studies.
    MIT
  • Search the IACR ePrint Archive for cryptography papers using keywords to find relevant research publications.
    MIT
  • Search and filter arXiv papers using advanced query patterns, date ranges, and category selections to find relevant research efficiently.
    Apache 2.0
  • Search arXiv research papers with advanced filtering by category, date, and field-specific queries to find relevant academic literature.
    MIT
  • Identify research gaps and top-cited or recent papers for any query. Get cross-paper synthesis gaps grounded in multiple papers, single-paper gaps, and a field overview.
    MIT
  • Retrieve complete documentation content for specific routes, including code examples, detailed explanations, and API references, after identifying relevant documentation through search.
    MIT
  • Search the web for specific information across multiple websites and extract content from search results to find relevant answers to queries.
    MIT
  • Retrieve full content of a specific code chunk by its ID. Use after finding relevant chunks to examine implementations or definitions.
    MIT
  • Summarize any PDF from a URL, extracting title, key points, sentiment, topics, and word count. Useful for research papers, reports, and contracts.
    MIT