LibreAI / Agentes de IA / paper-search-mcp
// agents · openags/paper-search-mcp

paper-search-mcp

paper-search-mcp é um projeto de agentes de IA de código aberto de openags (openags/paper-search-mcp no GitHub). Tem 2.766 estrelas no GitHub e 288 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 2 de outubro de 2026.

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

★ 2,8 mil estrelas⑂ 288 forksMITatualizado out 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Estrelas no GitHub
2.766
Forks
288
Licença
MIT
Última atualização no GitHub
2 de outubro de 2026
Categoria
Agentes de IA
Tipo de ficha
Guia de instalação completo
// como funciona

Como funciona

  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.

// recursos

Por que as pessoas gostam tanto

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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// execute você mesmo

Execute você mesmo

  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
// casos de uso

O que você pode criar

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// perguntas frequentes

Perguntas frequentes

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.

// continue explorando

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// alternativas

Alternativas em Agentes de IA

Os outros projetos de Agentes de IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se paper-search-mcp não for o ideal para você.

// mais em agents

Mais em Agentes de IA

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Baixe o paper-search-mcp

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.