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telagod

PaperMCP

by telagod

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Alternatives to PaperMCP

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      D
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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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    • A
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      Enables AI assistants to search, retrieve, analyze, and export academic papers from arXiv.org using the Model Context Protocol.
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    • F
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      Enables AI assistants to search for academic papers by DOI, title, or keywords and download full-text PDFs from Sci-Hub. It provides a programmatic interface for accessing metadata and scientific literature through the Model Context Protocol.
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    • A
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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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    • A
      license
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      quality
      D
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      Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools compatible with OpenAI Deep Research and ChatGPT connectors.
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    • F
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      quality
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      Provides tools to search arXiv papers and extract metadata, enabling AI assistants to access academic research papers via the Model Context Protocol.
      -

    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct role in the workflow: recommend_platforms suggests sources, search_papers finds papers, download_paper retrieves files, and read_paper extracts content. There is no overlap or confusion between these tools.

    Naming Consistency5/5

    All tool names follow the verb_noun pattern with consistent snake_case formatting (recommend_platforms, search_papers, download_paper, read_paper). The naming is uniform and predictable.

    Tool Count5/5

    With only 4 tools, the set is tightly scoped and each tool addresses a necessary step in the paper search and reading pipeline. This is an appropriate size for the server's purpose.

    Completeness5/5

    The tool set covers the complete workflow from platform recommendation, to search, download, and reading. There are no obvious gaps in the core functionality a user would expect from a paper management server.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive