aria-mcp-server
<!-- mcp-name: io.github.pkotecha-eng/aria-mcp-server -->
# 🧬 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.
[](https://glama.ai/mcp/servers/pkotecha-eng/aria-mcp-server)
## 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
```bash
pip install aria-mcp-server
aria-mcp-server
```
## Connect to Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json`:
```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](https://gofastmcp.com) — 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](https://dinq.me/pkotecha-eng)
TDQS
Scored across 3 tools
Each tool targets a distinct data source: PubMed (literature), ClinicalTrials.gov (global trials), and ISRCTN (UK/European trials). The descriptions include specific use cases and overlap is minimal, so an agent can easily select the appropriate tool.
All tools follow a clear 'search_<source>' pattern, making the naming perfectly consistent and predictable. The verb 'search' is used uniformly with the database name as the object.
Three tools are appropriate for a search-focused server covering the key biomedical research databases. Each tool provides a distinct and essential capability without unnecessary bloat.
The server covers the main sources for biomedical literature and clinical trials, but lacks other registries (e.g., EU-CTR, WHO ICTRP). Minor gaps exist, but the core search workflows are well covered and agents can work around them.