LibreAI / AI Agents / paper-search-mcp
// agents · openags/paper-search-mcp

paper-search-mcp

MCP server, CLI and skills for searching and downloading academic papers from arXiv, PubMed and 20+ sources

★ 2.8k stars⑂ 288 forksMITupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

paper-search-mcp is an open-source ai agents project by openags (openags/paper-search-mcp on GitHub). It has 2,766 GitHub stars and 288 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.

GitHub stars
2,766
Forks
288
License
MIT
Last updated on GitHub
2 October 2026
Category
AI Agents
Listing
Full install guide
// how it works

How it works

  1. Clarify your goal

    Decide which sources matter for your field (e.g. arXiv for CS, PubMed/Europe PMC for biomedicine) and whether you need search only or PDF download and text extraction too.

  2. Get the server

    Install via uvx/pip/Smithery or clone and run from source.

  3. Install and configure

    Add it to your MCP client; optionally set free API keys (Semantic Scholar, CORE, OpenAlex) and the required Unpaywall email in ~/.config/paper-search-mcp/.env.

  4. Run your first search

    Ask your client to search_papers for a topic, review the deduplicated results, and download an open-access PDF with the fallback downloader.

// features

Why people love it

20+ academic sources

Unified search across arXiv, PubMed, bioRxiv, medRxiv, Semantic Scholar, Crossref, OpenAlex, PMC, CORE, Europe PMC, dblp, OpenAIRE, DOAJ, Zenodo, HAL, SSRN, OpenReview, IACR and more.

Unified search with dedup

The high-level search_papers tool runs multi-source concurrent search and deduplicates into a standardized Paper format.

OA-first downloads

download_with_fallback tries source-native links, then OpenAIRE/CORE/Europe PMC/PMC discovery, then Unpaywall DOI resolution (an optional Sci-Hub step is user-enabled and the user's responsibility).

Free-first, keys optional

Works without keys wherever possible; free keys for some sources raise rate limits, and the README documents each source's real capability matrix from live tests.

Fast search modes

CLI -s fast / -s fastest modes trade coverage for latency using the quickest sources.

Multiple transports and OAuth

stdio by default, plus SSE and Streamable HTTP bound to localhost, with optional OAuth protected-resource mode for remote deployments.

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// run it

Run it yourself

  1. Clone the repo

    Clone Paper Search MCP if running from source; most users install it as an MCP server in step 2.

    git clone https://github.com/openags/paper-search-mcp.git
    cd paper-search-mcp
  2. Install the package

    Install it with the method the README lists for your client (uvx, pip, Smithery, npx or Docker).

    # see README for the exact command — install methods include uvx / pip / Smithery
  3. Add it to your MCP client

    Configure your client to launch the server (stdio by default), restart the client, and ask it to search for papers.

    # see README for the exact command — client config examples are in the Installation section
// use cases

What you can build

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// faq

Questions, answered

Who maintains Paper Search MCP?

openags maintains it on GitHub.

Is it free?

Yes, MIT-licensed, and deliberately free-first: sources are public/open by default. Some optional free API keys improve rate limits.

Does it need a paid API key?

No paid key is required. Unpaywall needs just an email set in the env; a few sources (like IEEE) need their own key only if you enable them.

How does it compare to searching Google Scholar alone?

Scholar is one source with bot-detection limits (documented in the README). This server standardizes and deduplicates results across 20+ sources and can download open-access full text.

How do I get started?

Install via uvx or Smithery, add it to your MCP client config, restart the client, and ask for a search_papers query.

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