io.github.JonasHeinickeBio/pyeuropepmc

pyeuropepmc

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

8 GitHub PyPI

No known CVEs

MIT license

Actively maintained

Last commit 5d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 17h ago

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io.github.JonasHeinickeBio/pyeuropepmc is an MCP server that europe PMC search, search analytics, full text, enrichment, PICO, MeSH, data links, export, auth. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 60/100 on MCPpedia's security, maintenance and efficiency rubric.

Education Health

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "pyeuropepmc": {
      "command": "pyeuropepmc-mcp"
    }
  }
}

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What io.github.JonasHeinickeBio/pyeuropepmc does

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

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

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Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

60/100across 5 weighted dimensions

How we score →

0255075100

−40

Security

Maintenance

Efficiency

Documentation

Compatibility

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Security

OSV.dev

No known CVEs.

Checked pyeuropepmc against OSV.dev.

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.JonasHeinickeBio/pyeuropepmc safe to use?: io.github.JonasHeinickeBio/pyeuropepmc has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.
How do I install io.github.JonasHeinickeBio/pyeuropepmc?: io.github.JonasHeinickeBio/pyeuropepmc supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.JonasHeinickeBio/pyeuropepmc?: io.github.JonasHeinickeBio/pyeuropepmc is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.JonasHeinickeBio/pyeuropepmc actively maintained?: io.github.JonasHeinickeBio/pyeuropepmc is actively maintained - last commit was 5 days ago. It has 8 GitHub stars.

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MCP Security Weekly

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

✨ 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 server at EBI. PDFs also come from NCBI's open-access copy and, by DOI, from arXiv, Unpaywall, OpenAlex and Semantic Scholar, each with its source and licence (PDF download). 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 [rdf_map.yml](https://github.com/JonasHeinickeBio/pyEuropePMC/bl

Frequently Asked Questions

Is io.github.JonasHeinickeBio/pyeuropepmc safe to use?

io.github.JonasHeinickeBio/pyeuropepmc has no known CVEs as of the latest MCPpedia security scan. Authentication requirements were not detected automatically - check the project's documentation before connecting in a shared environment. Licensed under MIT.

How do I install io.github.JonasHeinickeBio/pyeuropepmc?

io.github.JonasHeinickeBio/pyeuropepmc supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.JonasHeinickeBio/pyeuropepmc?

io.github.JonasHeinickeBio/pyeuropepmc is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.JonasHeinickeBio/pyeuropepmc actively maintained?

io.github.JonasHeinickeBio/pyeuropepmc is actively maintained - last commit was 5 days ago. It has 8 GitHub stars.

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 server at EBI. PDFs also come from NCBI's open-access copy and, by DOI, from arXiv, Unpaywall, OpenAlex and Semantic Scholar, each with its source and licence (PDF download). 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 [rdf_map.yml](https://github.com/JonasHeinickeBio/pyEuropePMC/bl

... View full README on GitHub