# ADK MCP Server

> Use this tool when you need to query Google ADK documentation offline and enable AI models to access and understand ADK docs through vector search. It solves problems of offline documentation access and AI model training by providing a reliable interface for querying ADK documentation. The ADK MCP Server takes in queries as input and outputs relevant documentation results, ideal for use cases where internet connectivity is limited or AI model training requires offline access to documentation.

Canonical page: https://skillsregistry.net/skills/nkaewam-adk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nkaewam-adk-mcp

## Description

An offline-first MCP server for querying Google ADK documentation using vector search, enabling AI models to access and understand ADK docs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wivjowqyj0)
- **Repository:** <https://github.com/nkaewam/adk-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": "nkaewam-adk-mcp"
    }
  }
}
```

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

---
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