"Using Google Scholar to Find Specific Articles" matching MCP servers:

Enables academic research via Claude Code, allowing search of Google Scholar and access to Open Access full-text articles.

Enables AI assistants to search and analyze Google Scholar publications, authors, citations, and download papers.

Enables searching Google Scholar with Scholar operators, year ranges, cited-by and all-versions lookups, and retrieving citations in five styles with BibTeX and EndNote export links as structured JSON.

Enables searching Google Scholar for academic papers, citations, and author profiles, returning structured JSON results including titles, authors, citation counts, abstracts, and PDF links.

Enables academic research through Google Scholar by searching for papers, finding author publications, discovering recent research, and identifying highly cited works through web scraping with natural language queries.

An MCP server for searching Google Scholar, enabling paper search, author lookup, citation tracking, and BibTeX export for AI assistants and automation workflows.

🔍 Enable AI assistants to search and access Google Scholar papers through a simple MCP interface.

MCP server for AI agents to search Google Scholar Labs and filter results by AJG 2024 journal ratings, using local browser sessions and safe CAPTCHA handoff.

A local MCP server that allows users to search Google Scholar for academic papers by topic, author, and year range without requiring API keys. It utilizes web scraping to provide paginated results for research and academic exploration through natural language.

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 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.

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.

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

A local academic tool that enables searching across nine academic sources, downloading PDFs, and performing AI-powered analysis of research papers. It also supports generating citation networks and recommending papers based on local workspace code.

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 locally-first literature research through an MCP host by collecting sources, parsing documents, retrieving evidence, validating citations, and exporting research records in multiple formats.

High-speed Scientific Literature Semantic Compiler & FastMCP Server Powered by arXiv, OpenAlex, DuckDB HTTP range queries, and TypeSafe Jev System One.

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

Enables searching and retrieving academic papers, authors, citations, and references from Semantic Scholar via an HTTP MCP server with caching and rate limiting.