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FlynnLachendro

methods-mcp

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables users to search and analyze academic papers from multiple sources, fetch metadata and full text, and build structured outputs like literature maps and paper comparisons.
      5 npm
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    • F
      license
      A
      quality
      D
      maintenance
      Enables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.
      10
      1
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search scholarly works, authors, institutions, venues, and concepts, retrieve detailed metadata, and explore citation networks through natural-language requests.
      2 npm
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to search and retrieve academic papers from arXiv and PubMed with citation-grade extraction, providing clean citations and summaries.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      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.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables arXiv paper search, PDF download, text extraction, and context chunking for LLM pipelines, along with advanced features like citation graphs and reproducibility scoring.
      2
      MIT

    TDQS

    A3.8/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: health check, metadata resolution, text fetching, methods extraction, code repo discovery, reproducibility assessment, summarization, and a combined orchestration tool. The composite tool is explicitly described as a one-call pipeline, so no confusion with individual steps.

    Naming Consistency3/5

    Most tools follow a verb_noun pattern (get, fetch, extract, find, assess, summarize), but 'health' is a bare noun and 'methods_repro_review' is a noun phrase without a verb. These deviations break the otherwise consistent snake_case convention.

    Tool Count5/5

    8 tools is well within the ideal range, and each tool maps to a specific stage in the paper analysis pipeline. No redundancy or unnecessary duplication, and the count feels appropriately scoped for the server's reproducibility-focused purpose.

    Completeness4/5

    The tool surface covers the entire workflow from paper resolution to reproducibility assessment, including a composite endpoint. Minor gaps like search or fine-grained section access are absent but not essential to the stated domain, making the set largely complete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues