# levelry-docs

> levelry-docs — kt3v-levelry-docs. Use this tool when you need to integrate AI agents with a visual knowledge base, connecting them via Model Context Protocol (MCP) for seamless interaction. It solves problems of agent setup and knowledge base connectivity, providing a straightforward interface for instant agent configuration through SKILL.md. Ideal for use cases requiring AI agent integration with existing knowledge bases, using git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/kt3v-levelry-docs  
JSON: https://api.skillsregistry.net/v1/skills/kt3v-levelry-docs

## Description

Levelry MCP server integration — connect AI agents to your visual knowledge base via Model Context Protocol. Includes SKILL.md for instant agent setup.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/kt3v/levelry-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": "kt3v-levelry-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kt3v-levelry-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kt3v-levelry-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