# AACT Clinical Trials MCP Server

> Use this tool when you need to retrieve and analyze clinical trial data in a structured format. It solves problems related to accessing and processing large amounts of clinical trial information, providing AI assistants with direct query access to the AACT database. With input queries and output results in a structured format, it is ideal for use cases requiring efficient analysis of clinical trial data.

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

## Description

Provides AI assistants with direct query access to the AACT (Aggregate Analysis of ClinicalTrials.gov) database, allowing structured retrieval and analysis of clinical trial data.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iu73ihc13w)
- **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-mcp"
    }
  }
}
```

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