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MCP Server

AACT Clinical Trials MCP Server

Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.

17
GitHub Stars
3/9/2026
Last Updated
MCP Server Configuration
1{
2 "name": "aact",
3 "command": "uvx",
4 "args": [
5 "mcp-server-aact"
6 ],
7 "env": {
8 "DB_USER": "your_username",
9 "DB_PASSWORD": "your_password"
10 }
11}
JSON11 lines
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README Documentation

AACT Clinical Trials MCP Server

Query the AACT (ClinicalTrials.gov) database directly from Claude. Explore 70+ tables of clinical trial data — studies, interventions, outcomes, sponsors, facilities — using read-only SQL with buffered pagination.

Why AACT over the ClinicalTrials.gov API?

The ClinicalTrials.gov API returns one JSON record per trial — useful for quick lookups, but awkward for analytics. Want the average duration of Phase 2 NSCLC trials from 2020-2025? With the API you'd filter trials, extract dates from each JSON record, then compute durations client-side. With AACT, that's a single SQL query.

A structured PostgreSQL database makes it far easier to aggregate, combine, and summarize clinical trial data in any way you need. And for AI-assisted analysis, SQL is a standard that LLMs handle extremely well — fewer mistakes, less context to manage, better performance, and lower cost compared to parsing bespoke API responses.

Note: This is an independent, third-party integration. It is not affiliated with or endorsed by the Clinical Trials Transformation Initiative (CTTI) or Duke University. However, we released a case study with CTTI on integrating their database with Claude - see AACT case study.

Tools

ToolDescription
database_infoConfirm database connection, server time, and data currency
list_tablesDiscover all available tables with approximate row counts
describe_tableInspect column names, types, distinct counts, and sample values
get_column_valuesGet distinct values for a column with counts — essential before filtering
search_columnsFind columns by keyword across all tables (e.g. masking -> designs.masking)
read_queryExecute a SELECT, CTE, or EXPLAIN query with buffered results and preview
fetch_rowsPage through buffered query results without re-querying

All tables join on nct_id.

Setup

  1. Create a free account at https://aact.ctti-clinicaltrials.org/users/sign_up
  2. Install the plugin (see options below)
  3. Enter your AACT credentials when prompted

Installation

Option 1: Claude Desktop Plugin (recommended)

Download the latest .mcpb file from Releases and open it in Claude Desktop. You'll be prompted for your AACT credentials.

Option 2: Published package

Add to your claude_desktop_config.json (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "aact": {
      "command": "uvx",
      "args": ["mcp-server-aact"],
      "env": {
        "DB_USER": "your_username",
        "DB_PASSWORD": "your_password"
      }
    }
  }
}

Option 3: Docker

{
  "mcpServers": {
    "aact": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "--env", "DB_USER=your_username",
        "--env", "DB_PASSWORD=your_password",
        "navisbio/mcp-server-aact:latest"
      ]
    }
  }
}

Option 4: From source

git clone https://github.com/navisbio/mcp-server-aact.git
cd mcp-server-aact
uv sync
{
  "mcpServers": {
    "aact": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-server-aact", "mcp-server-aact"],
      "env": {
        "DB_USER": "your_username",
        "DB_PASSWORD": "your_password"
      }
    }
  }
}

Example Prompts

1. Competitive landscape analysis

"Who are the top 10 sponsors of Phase 3 Alzheimer's disease trials? Break down by trial status."

The server will discover relevant tables, check enum values for phase and status, then build a query joining studies, conditions, and sponsors.

2. Drug pipeline search

"Find all actively recruiting Phase 2 and Phase 3 trials for pembrolizumab in non-small cell lung cancer. Show NCT ID, title, enrollment, and lead sponsor."

Uses get_column_values to confirm phase format (PHASE2, PHASE3), then queries across studies, browse_interventions, and conditions.

3. Endpoint analysis

"What are the most common primary outcome measures in completed Phase 3 type 2 diabetes trials?"

Joins studies with outcomes to analyze endpoint patterns, grouped by outcome measure type.

4. Geographic distribution

"How many clinical trial sites does a typical rare disease trial have? Show the top countries by site count."

Queries the facilities table joined with conditions to map trial geography.

Privacy

This server is read-only and does not collect or store any personal data. See PRIVACY.md for details.

Troubleshooting

Connection or authentication errors

  • Verify your AACT credentials at https://aact.ctti-clinicaltrials.org/users/sign_in
  • The AACT database undergoes weekly maintenance (typically weekends) — try again later if the connection is refused
  • Ensure DB_USER and DB_PASSWORD are set correctly in your config

spawn uvx ENOENT error

The system cannot find uvx. Use the full path:

{
  "mcpServers": {
    "aact": {
      "command": "/Users/username/.local/bin/uvx",
      "args": ["mcp-server-aact"],
      "env": {
        "DB_USER": "your_username",
        "DB_PASSWORD": "your_password"
      }
    }
  }
}

Contributing

  • Open an issue on GitHub
  • Email: jonas.walheim@navis-bio.com

License

MIT

Quick Install

Quick Actions

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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