"Semantic Scholar" matching MCP servers:

MCP server for querying the Semantic Scholar Academic Graph API, enabling paper search, author lookup, citation tracking, and paper recommendations.

Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.

Enables searching and retrieving academic papers, authors, citations, and recommendations from Semantic Scholar via MCP.

Unified MCP server for scientific literature search and extraction, integrating databases like Scopus, OpenAlex, Semantic Scholar, and Unpaywall to enable AI agents to discover papers, track citations, and analyze content.

Enables searching academic papers on Semantic Scholar and downloading their PDFs, with support for multiple publishers.

Multi-source academic paper search, citation graph exploration, and PDF download as an MCP server, designed for LLM agents doing research.

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

Enables natural language search of local photo archives using AI-powered semantic understanding, with integration into Claude Desktop via the Model Context Protocol.

An MCP server that gives models semantic context about a data warehouse, including table meaning, units, lineage, and health, to reduce guessing.

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.

Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.

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.

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.

Enables agents to query governed metrics through MCP, including describing metrics, running deterministic SQL against a warehouse, explaining join path preferences, and searching semantically ambiguous terms.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

Enables searching scholarly literature across CrossRef, ERIC, Semantic Scholar, and OpenAlex, and retrieving open-access PDFs via Unpaywall.

Local semantic recall MCP server for citation-integrity workflows. Enables semantic search over a text corpus, returning file paths and page numbers for verification, with 100% local processing using ONNX embeddings and LanceDB.

Enables retrieval of academic paper metadata, PDFs, full text, citations, and references by title via Semantic Scholar, arXiv, and other sources.

A FastMCP server for the scholarly citation landscape that enables LLMs to search, cross-reference, and retrieve prior art across papers, patents, books, and standards via multiple APIs.