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"Semantic Scholar" matching MCP servers:

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    quality
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    Access millions of academic papers from Semantic Scholar using the Model Context Protocol, with tools for paper search, author analysis, and research organization.
    Last updated
    4
    MIT
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    Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.
    Last updated
    13
    2
    MIT
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    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
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    3
    2
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    quality
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    For AI agents and humans: Discover researchers, publications, datasets, and code repositories across a federated network of researcher digital twins. Compute S-Index impact metrics combining citation data from Semantic Scholar and Google Scholar with code and dataset quality scores from GitHub and Figshare.
    Last updated
    8
    1
    MIT
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    Enables retrieval of academic paper metadata, PDFs, full text, citations, and references by title via Semantic Scholar, arXiv, and other sources.
    Last updated
    6
    1
    MIT
  • F
    license
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    quality
    B
    maintenance
    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.
    Last updated
    29
    7
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    Enables AI-assisted analysis and optimization of Cloudflare D1 databases through comprehensive schema introspection, relationship mapping, validation, and optimization recommendations. Demonstrates semantic intent patterns with hexagonal architecture for maintainable database development workflows.
    Last updated
    4
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  • F
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    "mcp\_scholar" is a Python-based tool for searching and analyzing Google Scholar papers, supporting features like keyword-based searches and integration with MCP clients and Cherry Studio. It provides functionalities such as fetching top-cited papers from scholar profiles and summarizing research top
    Last updated
    7
    54