MCP.Market

PyEuropePMC MCP server

by JonasHeinickeBio·io.github.JonasHeinickeBio/pyeuropepmc·v4.6.1·8 stars

Europe PMC search, search analytics, full text, enrichment, PICO, MeSH, data links, export, auth

A92/100grade A
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Safety scan
A92/100

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Adoption
Growing

8 stars130 downloads/wk

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PyEuropePMC tools

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How PyEuropePMC compares

Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 3,470 Web search servers
GitHub stars
8
more than 84% of 1,786 Web search servers
Downloads a week
130
more than 63% of 827 Web search servers with a package

Release history: 6 versions in the registry since 2026-09-17, latest 2026-11-02, typically one every 4 days.

Install PyEuropePMC in Claude Code, Cursor or VS Code

claude mcp add pyeuropepmc -- uvx pyeuropepmc
Add to Cursor

What the publisher says

From the PyEuropePMC repository's README, as published. We do not edit it. Read it on GitHub

PyEuropePMC

PyEuropePMC is a Python client for Europe PMC. It searches the literature, downloads open-access full text, and parses JATS XML into metadata, plain text and structured sections. It also ships a command-line tool and an MCP server for AI agents.

✨ Features

  • Europe PMC search with plain queries or a fluent QueryBuilder, pagination, and results as JSON, XML or Dublin Core. Search guide
  • Ten more sources in one search, with duplicates merged: PubMed, arXiv, ClinicalTrials.gov, OpenAlex, Semantic Scholar, CORE, DBLP, DOAJ, HAL and Zenodo. Semantic Scholar needs the semanticscholar extra and CORE an API key. Multi-source search
  • Full text: XML (Europe PMC first, then other open sources), PDF and HTML, plus bulk PDF downloads from the Europe PMC FTP site. Full-text retrieval
  • JATS XML parsing: metadata, authors, tables, figures and references; plain text and Markdown; typed sections for retrieval-augmented generation (RAG); JATS normalization and BioC export. XML parsing, JATS normalization
  • Text-mining annotations for genes, diseases, chemicals and their relationships. Examples
  • Citations and metadata: walk citation graphs, and enrich records from Crossref, Unpaywall, OpenAlex, Semantic Scholar, DataCite, ORCID, ROR and iCite. Citation walking, Enrichment
  • Analysis: pandas DataFrames, citation statistics, duplicate detection, plots, and PRISMA-style search logs for systematic reviews. Analytics, Review tracking
  • RDF knowledge graphs from parsed articles, mapped by the rdfmap.yml that ships with the package; pass RDFMapper(configpath=...) or PipelineConfig(rdfconfigpath=...) to use your own. Data models and RDF
  • A command line and an MCP server, described below.

📦 Installation

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

PyEuropePMC: common questions

Is PyEuropePMC MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the PyEuropePMC safety report
How do I install PyEuropePMC?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does PyEuropePMC need an API key?
Yes. The registry entry asks for SEMANTIC_SCHOLAR_API_KEY, OPENAI_API_KEY.
Is PyEuropePMC maintained?
The last commit was 33 days ago (2026-10-02). The latest release is v4.6.1.
What can I use instead of PyEuropePMC?
Servers from other publishers that do the same job: Pubmed MCP server, PubMed Search MCP server and Arxiv MCP server.
How does PyEuropePMC compare with other Web search MCP servers?
safety score 92/100 (higher than 90% of 3,470 Web search servers); github stars 8 (more than 84% of 1,786 Web search servers); downloads a week 130 (more than 63% of 827 Web search servers with a package). Full comparison.

Alternatives to PyEuropePMC

Same job from other publishers: the closest match first, then the best rated.

  • Pubmed
    Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms.
    A
  • PubMed Search
    Multi-source biomedical literature search: PubMed, Europe PMC, OpenAlex, full text, citations
    B
  • Arxiv
    Search arXiv papers, download full text, semantic search, citation graphs, and alerts via MCP.
    A
  • Misakanet
    Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
    A
  • Link
    Local personal memory for agents as MCP tools — remember, recall, search, context, graph traversal.
    A