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

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

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.

Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).

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.

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.

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

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.

A discovery tool for AI agents to search, evaluate, and install MCP servers from multiple registries.

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

An MCP server for used-vehicle matching, offering tools to find matching vehicles, fetch photos, and resolve dealer URLs using Auto.dev endpoints. Currently a scaffold with stubs for search logic.

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.

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.

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

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

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

Enables AI agents to search academic authors and papers, retrieving citation counts, abstracts, and author profiles without API keys.