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"namespace:io.github.h2-papers" matching MCP servers:

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    Provides paper search, PDF link retrieval, and content parsing for arXiv research papers, enabling seamless access to scientific literature through the Model Context Protocol.
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    MIT
  • A
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    Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.
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    MIT
  • F
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    Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.
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  • A
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    Enables LLMs to search, fetch, and manage arXiv research papers across various categories. It allows users to browse recent publications, query specific metadata, and retrieve full abstracts through a local database.
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    MIT
  • A
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    A local academic tool that enables searching across nine academic sources, downloading PDFs, and performing AI-powered analysis of research papers. It also supports generating citation networks and recommending papers based on local workspace code.
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    MIT
  • A
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    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.
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    MIT
  • A
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    Enables AI clients to search for academic papers, fetch metadata by DOI, retrieve open access PDF links, and extract full text from research papers using the Unpaywall API. Provides seamless access to scholarly literature for research and analysis tasks.
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    MIT
  • A
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    Enables searching and analyzing over 560,000 CS/AI/ML research papers with LLM-powered novelty scoring and summaries. Supports literature reviews, trend monitoring, benchmark tracking, and deep research sessions through 23 specialized tools.
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    MIT
  • F
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    Enables searching, downloading, and reading academic papers from multiple platforms including arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, IACR, Google Scholar, RePEc/IDEAS, and Sci-Hub with PDF to Markdown conversion.
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