# drizzle-docs

> drizzle-docs — michael-obele-drizzle-docs. Use this tool when you need to access Drizzle ORM documentation in real-time for AI models, solving integration and development challenges by providing up-to-date information through a Model Context Protocol (MCP) server. It takes AI model requests as input and outputs relevant documentation, streamlining the development process. Ideal for use cases where AI models require immediate access to Drizzle ORM documentation, such as during training or testing phases.

Canonical page: https://skillsregistry.net/skills/michael-obele-drizzle-docs  
JSON: https://api.skillsregistry.net/v1/skills/michael-obele-drizzle-docs

## Description

A Model Context Protocol (MCP) server that provides real-time access to Drizzle ORM documentation for AI models.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Michael-Obele/drizzle-docs)

## 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": "michael-obele-drizzle-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/michael-obele-drizzle-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/michael-obele-drizzle-docs/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