pubmed-search-mcp and paper-search-mcp

These are competitors offering overlapping biomedical literature search capabilities (PubMed, Europe PMC, bioRxiv), though the first is significantly more mature with established usage patterns and additional research-specific features like PICO analysis and citation networks.

pubmed-search-mcp
52
Established
paper-search-mcp
48
Emerging
Maintenance 10/25
Adoption 12/25
Maturity 18/25
Community 12/25
Maintenance 2/25
Adoption 10/25
Maturity 15/25
Community 21/25
Stars: 5
Forks: 1
Downloads: 1,860
Commits (30d): 0
Language: Python
License:
Stars: 779
Forks: 104
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m No Package No Dependents

About pubmed-search-mcp

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

Employs a Domain-Driven Design architecture with a vocabulary translation layer that automatically converts between natural language, MeSH, ICD-10, and database-specific terminologies, enabling unified querying across fragmented APIs. Integrates directly with NCBI, Europe PMC, CORE, and OpenAlex via stdio transport with automatic credential handling, while providing research timeline detection, landmark paper identification, and citation network analysis for comprehensive literature mapping.

About paper-search-mcp

openags/paper-search-mcp

A MCP for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

Implements a two-layer architecture with unified high-level tools (`search_papers`, `download_with_fallback`) that coordinate concurrent searches across 20+ academic platforms while deduplicating results, backed by modular platform-specific connectors using intelligent DOI extraction. Follows a free-first design philosophy prioritizing open metadata sources (Crossref, OpenAlex, dblp) and full-text repositories (arXiv, PMC, CORE, OpenAIRE) with optional API keys for rate-limit improvement, and chains fallback strategies for PDF retrieval across multiple OA sources before optional Sci-Hub access. Integrates as an MCP server compatible with LLM clients like Claude Desktop via the MCP Python SDK.

Scores updated daily from GitHub, PyPI, and npm data. How scores work