"Semantic Scholar" matching MCP servers:

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

Enables searching and retrieving academic paper metadata from Semantic Scholar, including paper details, citations, and author information.

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

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.

Enables access to the Semantic Scholar Academic Graph API for searching and retrieving detailed information about academic papers, authors, citations, and references.

An MCP server that provides access to Semantic Scholar's academic paper database, enabling paper search, detailed retrieval, author info, and citation export.

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

Enables searching academic papers, exploring citation graphs, and looking up authors from Semantic Scholar's database of 200M+ papers.

Access millions of academic papers from Semantic Scholar using the Model Context Protocol, with tools for paper search, author analysis, and research organization.

A comprehensive Model Context Protocol server that provides AI assistants with direct access to Semantic Scholar's academic database, enabling advanced paper discovery, citation analysis, author research, and AI-powered recommendations.

Provides tools for accessing the Semantic Scholar API to search papers, retrieve paper and author details, and fetch citations and references through the Model Context Protocol.

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.

Enables searching Baidu Scholar by paper title or keywords, retrieving full paper details, citations, and full-text links, with candidate selection left to the calling LLM.

Searches and retrieves academic papers from open access sources like arXiv, Semantic Scholar, and PubMed, with full text access via arXiv PDFs, PubMed Central, and Unpaywall.

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