# Oncology DB

> Use this tool when you need to access precision oncology data for clinical evidence retrieval, variant interpretations, and trial matching. It integrates with reputable sources like CIViC, OpenFDA, and ClinicalTrials.gov to provide comprehensive information. Ideal for AI agents requiring accurate and up-to-date oncology data to inform decision-making and support cancer research.

Canonical page: https://skillsregistry.net/skills/cancerdao-oncology-db  
JSON: https://api.skillsregistry.net/v1/skills/cancerdao-oncology-db

## Description

Oncology DB provides AI assistants with access to precision oncology data via MCP. Integrates with CIViC (Clinical Interpretation of Variants in Cancer), OpenFDA drug data, and ClinicalTrials.gov for clinical evidence retrieval, variant interpretations, and trial matching.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/cancerdao-oncology-db)
- **Repository:** <https://github.com/cancerdao/oncology-db-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": "cancerdao-oncology-db"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cancerdao-oncology-db` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cancerdao-oncology-db/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