aria-mcp-server 0.1.8

No project description provided

🧬 ARIA Clinical Research MCP Server

A standalone MCP server that gives any Claude agent real-time access to biomedical literature and clinical trials — no API keys required.

Tools

Tool	Description
search_pubmed	Search 35M+ peer-reviewed papers via NCBI E-utilities
search_clinical_trials	Search 400K+ trials via ClinicalTrials.gov v2 API
search_isrctn	Search UK/European trials via ISRCTN registry

Prompts

Prompt	Description
clinical-research-brief	Comprehensive evidence + trial brief for a condition
adverse-event-analysis	Structured AE and safety profile for a drug
trial-eligibility-checker	Patient eligibility assessment across recruiting trials

Resources

Resource	Description
info://aria	Overview of ARIA capabilities and data sources
reference://trial-phases	Phase I–IV definitions and FDA special designations
reference://high-impact-journals	Curated high-impact journals by specialty
reference://fda-databases	FDA databases for drug, safety, and regulatory research

Example queries

Once connected, ask Claude:

• "Search PubMed for ketogenic diet pediatric epilepsy outcomes"
• "Find recruiting trials for lung cancer immunotherapy"
• "What does the literature say about veliparib in ovarian cancer, and are there active trials?"
• "Find UK and European trials for pediatric epilepsy via ISRCTN"

Quickstart

pip install aria-mcp-server
aria-mcp-server

Connect to Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "aria-clinical-research": {
      "command": "aria-mcp-server"
    }
  }
}

Restart Claude Desktop. The server will appear under Settings → Developer → Local MCP Servers.

Data sources

• PubMed — NCBI E-utilities (public API, no key required)
• ClinicalTrials.gov — v2 REST API (public API, no key required)
• ISRCTN — UK/European clinical trials registry (public API, no key required)

Tech stack

• FastMCP — MCP server framework
• Python 3.12+

Use cases

• Life sciences researchers needing real-time literature access
• Clinical trial coordinators checking eligibility and recruiting status
• Drug discovery teams cross-referencing published evidence with active trials
• Any Claude agent needing grounded biomedical knowledge

Project Structure

aria-mcp-server/          ← root, where mcp-publisher runs
├── aria_mcp_server/      ← Python package
│   ├── __init__.py
│   ├── server.py
│   └── tools.py
├── server.json           ← MCP registry metadata
├── pyproject.toml
├── README.md
├── LICENSE
└── glama.json

Built by

Pooja Kotecha · dinq.me/pkotecha-eng