# AACT Clinical Trials

> Use this tool when you need to analyze clinical trial data, identify relevant studies, or track drug development trends. It provides an interface to query and retrieve study details from the AACT database, supporting custom SQL queries and searches across various trial parameters. With efficient, concurrent database operations, it is ideal for researchers, healthcare professionals, and data scientists integrating large-scale clinical trial data analysis into their AI-assisted workflows.

Canonical page: https://skillsregistry.net/skills/navisbio-aact-clinical-trials  
JSON: https://api.skillsregistry.net/v1/skills/navisbio-aact-clinical-trials

## Description

This MCP server implementation provides an interface to the AACT (Aggregated Analysis of Clinical Trials) database, enabling AI assistants to query and analyze clinical trial data. Developed as an open-source project, it leverages Python and the psycopg2 library to connect to the PostgreSQL-based AACT database. The server offers functions for executing custom SQL queries, retrieving study details, and searching across various trial parameters. Built with asyncio support and following MCP standards, it allows for efficient, concurrent database operations. This implementation is particularly useful for researchers, healthcare professionals, and data scientists who want to integrate large-scale clinical trial data analysis into their AI-assisted workflows, facilitating tasks such as identifying relevant studies, analyzing trial designs, or tracking drug development trends.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/navisbio-aact-clinical-trials)
- **Repository:** <https://github.com/navisbio/aact_clinicaltrials_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "navisbio-aact-clinical-trials"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/navisbio-aact-clinical-trials` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/navisbio-aact-clinical-trials/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt