# CIViC MCP Server

> Use this tool when you need to analyze cancer genomics data and interpret variants in a clinical context, as it enables efficient querying and natural language interaction with the Clinical Interpretation of Variants in Cancer (CIViC) database. It takes GraphQL queries as input and outputs queryable SQLite tables for streamlined data analysis. Ideal for researchers and clinicians seeking to uncover insights from cancer genomics data.

Canonical page: https://skillsregistry.net/skills/quentincody-civic-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/quentincody-civic-mcp-server

## Description

Enables structured queries and data analysis of cancer genomics information by interfacing with the Clinical Interpretation of Variants in Cancer (CIViC) API. It converts GraphQL responses into queryable SQLite tables for efficient clinical interpretation and natural language interaction.

## Trust

- **Trust score (0–1):** 0.93
- **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:** [Glama](https://glama.ai/mcp/servers/ml0e9z6lqb)
- **Repository:** <https://github.com/QuentinCody/civic-mcp-server>

## 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": "quentincody-civic-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quentincody-civic-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quentincody-civic-mcp-server/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