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pubmed-search-mcp
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pubmed-search-mcp

Active·★ 28·NOASSERTION·Updated 2026-10-20

PubMed Search MCP is an intelligent research assistant designed for AI agents, leveraging Domain-Driven Design to provide advanced literature search and analysis capabilities. It unifies access to multiple academic databases like PubMed, Europe PMC, and CORE, offering features such as vocabulary translation, research timeline generation, and full-text extraction for comprehensive scholarly exploration.

#PubMed Search#Literature Research#AI Agents#Academic Database Integration#Citation Analysis
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#Full Text Extraction
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$ Install
$ pip install pubmed-search-mcp
↗ Visit site★ GitHub
01

Features

01Unified multi-source academic search (PubMed, Europe PMC, CORE, OpenAlex, NCBI).
02Automatic vocabulary translation (ICD codes to MeSH, ESpell correction).
03Research timeline and citation network analysis.
04Open Access figure and full-text extraction.
05Structured PICO clinical question search and pipeline management.
02

Compatibility

Python
Runtime
Verified via docs
MCP (Model Context Protocol)
Protocol
Verified via docs
VS Code / Cursor
IDE Integration
Verified via docs
Claude (Desktop / Code)
AI Agent Client
Verified via docs
Microsoft Copilot Studio
AI Agent Platform
Verified via docs
03

Quick start

1
$ pip install pubmed-search-mcp
04

Use cases

↳Conduct quick searches using natural language or clinical codes.
↳Perform structured clinical research using the PICO framework.
↳Explore research landscapes by building citation networks from key papers.
↳Access and analyze full-text articles and figures from Open Access sources.
↳Export search results into various academic citation formats (RIS, BibTeX, CSL JSON).
05

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u9401066 /
pubmed-search-mcp
↗

🔬 Professional MCP server for biomedical literature research — 40 tools, multi-source search (PubMed, Europe PMC, CORE, OpenAlex), full-text access, citation networks, PICO analysis, and more

28
Last commit3d ago
StatusActive
CategoryRAG / Knowledge Base
Links
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