# Lorcana MCP Playtest Platform

> Lorcana MCP Playtest Platform — kschltz-lorcana-mcp-platform. Use this tool when you need to simulate and test Disney Lorcana TCG matches, enabling AI agents to play against each other and providing tools for deck validation, match creation, and state observation. It solves problems related to AI training and testing in card game environments, supporting AI-vs-AI play and live spectator boards. Ideal for use cases requiring automated card game simulation and analysis, with inputs including deck configurations and outputs including match results and game states.

Canonical page: https://skillsregistry.net/skills/kschltz-lorcana-mcp-platform  
JSON: https://api.skillsregistry.net/v1/skills/kschltz-lorcana-mcp-platform

## Description

Enables AI agents to play Disney Lorcana TCG matches over MCP, with tools for card search, deck validation, match creation, state observation, legal actions, and moves. Supports AI-vs-AI play and a live spectator board.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x5jlhe4qwi)
- **Repository:** <https://github.com/kschltz/lorcana-mcp-platform>

## 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": "kschltz-lorcana-mcp-platform"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kschltz-lorcana-mcp-platform` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kschltz-lorcana-mcp-platform/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