"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.

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DataCite, PubMed and OpenAlex records: whether each cited work exists, whether its metadata matches, and whether it was retracted.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

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

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 simulation-only MCP server for recording US-equity order intents and estimating outcomes from historical Alpaca NBBO quotes, without placing live orders.

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.

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.

An academic research tool that enables users to search across nine major paper sources, rank results with AI-driven criteria, and automate paper notifications to multiple platforms. It streamlines literature management through integrated support for Zotero, Obsidian, and personal library website generation.

A universal paper downloader MCP that probes providers by DOI/identifier, downloads to a short-lived staging area, validates PDFs, and cleans up, while leaving final storage and management to the calling project.

Academic paper search and retrieval MCP server integrating multiple scholarly platforms into a unified interface. Supports search, fetch, trend analysis, and literature review workflows.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Your AI's research copilot. Searches 6 academic databases, downloads real PDFs, reads them cover to cover, extracts evidence, renders figures, syncs to Zotero.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables evidence-first analysis of research papers and slide decks by converting local PDFs, DOCX, PPT, and PPTX files into a cached, token-efficient index for batched searching and selective visual verification.

Enables AI assistants and design agents to connect directly to Paper Desktop via Chrome DevTools Protocol for autonomous design workflows, including atomic document editing, batch asset export, code generation, and design-system validation without rate limits.

Enables agents to work on academic paper corpora through compact JSON tools, exposing an outline/section/edit/lint loop so a model can scaffold, read and revise one section at a time without loading whole documents. Also covers metadata editing, bibliography checks, citation-key lookup, corpus pinning, research-handoff import, and rendering to PDF via Quarto, Typst or LaTeX.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables broad web search for current, time-sensitive information, returning short title, URL, and snippet results rather than full pages. It supports region and result-count parameters through a keyless multi-engine backend.

An MCP server for downloading academic papers from multiple sources using intelligent routing and year-aware priority selection. It enables users to retrieve metadata and download single or batch PDFs by DOI or URL.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.