# DGIdb MCP Server

> Use this tool when you need to query the Drug Gene Interaction Database (DGIdb) through natural language, enabling searches for drug-gene interactions, gene information, and drug attributes. It solves problems related to researching pharmaceutical interactions and gene associations, providing outputs such as relevant gene and drug information. Ideal for use cases requiring quick and intuitive access to DGIdb data, directly from Claude Desktop.

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

## Description

Enables querying the Drug Gene Interaction Database (DGIdb) through natural language, allowing users to search for drug-gene interactions, gene information, and drug attributes directly from Claude Desktop.

## Trust

- **Trust score (0–1):** 0.91
- **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/mkaut16lza)
- **Repository:** <https://github.com/QuentinCody/dgidb-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-dgidb-mcp-server"
    }
  }
}
```

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