"A search for information about paper surveys" matching MCP servers:

Public MCP server for agent-created, human-friendly, short-lived surveys. Enables agents to ask structured questions and retrieve answers.

Enables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.

Enables to search academic papers in Japanese and English, inspect availability of full text, and download public PDFs locally.

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

Enables agents to search papers across Semantic Scholar and arXiv, read and extract text from arXiv PDFs, align records across sources, and produce structured literature-analysis digests.

An MCP server for searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, and Sci-Hub, designed for seamless integration with large language models like Claude Desktop.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools for research workflows and OpenAI Deep Research integration.

Enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, Google Scholar, and Semantic Scholar. Provides standardized tools compatible with OpenAI Deep Research and ChatGPT connectors.

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

Checks every reference of a LaTeX paper against Crossref, dblp, arXiv, DataCite, PubMed and OpenAlex records: whether each cited work exists, whether its metadata matches, and whether it was retracted. Read-only tools confined to the workspace, with no LLM in the verdict.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

MCP server providing agentic tools for academic paper search, with support for OpenAlex API and optional API keys.

A local MCP server for searching and reading arXiv papers, enabling paper search, retrieval, and summarization through Claude.

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.

Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.

A local MCP server for intelligent PDF management that converts papers to markdown and enables hybrid grep and semantic search, allowing token-efficient exploration of academic documents.

Remotely-callable MCP server for academic paper search, full-text retrieval and image to LaTeX conversion across arXiv, Semantic Scholar, and OpenAlex.

A local-first database and assistant layer for organizing, analyzing, and retrieving research papers efficiently.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables Claude and other MCP-compatible clients to search and retrieve academic paper information from Semantic Scholar and Crossref, including metadata, abstracts, and full text when available. It exposes tools for paper search, topic/date-range search, and fetching details by DOI or Semantic Scholar ID.