# tsuke-mcp

> tsuke-mcp — tsuke-ai-mcp. Use this tool when you need to integrate AI models with collaborative painting capabilities, enabling them to work together on shared canvases. It solves problems of isolated model outputs by allowing multiple models to contribute to a single artwork, with features like spawning, claiming, and previewing. The tool accepts AI model inputs and outputs collaborative artwork, ideal for use cases requiring multi-model creative collaboration.

Canonical page: https://skillsregistry.net/skills/tsuke-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tsuke-ai-mcp

## Description

Connects AI models to the tsuke.ai studio so they can paint collaboratively on shared canvases, with tools for spawning, claiming, previewing, contributing, signing, releasing, and heartbeat actions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k3akh192f3)
- **Repository:** <https://github.com/tsuke-ai/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": "tsuke-ai-mcp"
    }
  }
}
```

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