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pkotecha-eng/aria-mcp-server

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ARIA Clinical Research MCP Server — exposes PubMed, ClinicalTrials.gov & ISRCTN as MCP tools. Any Claude agent can search 35M+ biomedical papers and 400K+ clinical trials in real t

P

MCP

pkotecha-eng/aria-mcp-server

Added 1 June 2026

Overview

A Python-based MCP server that connects Claude agents to PubMed, ClinicalTrials.gov, and ISRCTN. It provides real-time search across 35 million biomedical papers and 400,000 clinical trials through the Model Context Protocol.

Best for

Best for
Developers building Claude agents that need to query clinical research and biomedical literature in real time.

Use cases

  • Searching biomedical literature for systematic reviews or meta-analyses
  • Querying clinical trial registries for recruitment status or results
  • Integrating real-time medical research retrieval into Claude-based workflows

Notes

A Python-based MCP server that connects Claude agents to PubMed, ClinicalTrials.gov, and ISRCTN. It provides real-time search across 35 million biomedical papers and 400,000 clinical trials through the Model Context Protocol.

1 stars on GitHub. Last updated 2026-05-04. Licensed MIT.

Use cases

  • Searching biomedical literature for systematic reviews or meta-analyses
  • Querying clinical trial registries for recruitment status or results
  • Integrating real-time medical research retrieval into Claude-based workflows

Pros

  • Direct access to authoritative biomedical databases without API keys
  • Real-time search across millions of records
  • Simple MCP integration for Claude agents

Cons

  • Limited to three specific databases (no general web search)
  • No built-in caching or rate limiting for repeated queries
  • Single maintainer with low community adoption (1 star)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct access to authoritative biomedical databases without API keys
  • Real-time search across millions of records
  • Simple MCP integration for Claude agents

Cons

  • Limited to three specific databases (no general web search)
  • No built-in caching or rate limiting for repeated queries
  • Single maintainer with low community adoption (1 star)

Pairs with

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