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

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.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

AI-powered academic paper search MCP server with relevance scoring, summarization, author search, and credit checking. Enables users to search papers naturally and get scored results.

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.

A Model Context Protocol server for searching and downloading academic papers from multiple free and public sources, enabling LLM-driven academic research workflows.

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 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.

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DataCite, PubMed and OpenAlex records: whether each cited work exists, whether its metadata matches, and whether it was retracted.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.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

An MCP server for generating process diagrams and CONOPS visuals for government and defense proposals using a multiagent AI pipeline with Gemini models.

MCP server that turns DOI, URL, or paper titles into structured Markdown full-text with metadata and assets, enabling AI agents to read beyond abstracts.

Enables users to search simulated NSE instruments, get quotes and account state, preview trades, and place or cancel orders only after explicit confirmation, using short-lived previews and persistent JSON account state.

Enables AI agents to paper-trade on Polymarket against live order books with realistic fees and fill mechanics, including market search, portfolio tracking, and strategy backtesting.

Unifies nine upstream paper-search servers behind one endpoint, letting an agent search 40+ academic sources, fetch full texts, trace citation graphs, pull peer-review data, and run an end-to-end research pipeline. It auto-detects identifiers like arXiv IDs and DOIs, fans queries out across backends in parallel, and works without any credentials.