# Lorcana Cards

> Use this tool when you need to efficiently search, filter, and analyze Disney Lorcana trading card data, solving problems like deck-building and card research. It takes inputs like card names, filter criteria, and query parameters, and outputs aggregated data and statistical insights. Ideal for use cases requiring fast and reliable access to Lorcana card information, such as gaming research or collection management.

Canonical page: https://skillsregistry.net/skills/danielenricocahall-lorcana  
JSON: https://api.skillsregistry.net/v1/skills/danielenricocahall-lorcana

## Description

Lorcana Cards enables searching, filtering, and aggregating Disney Lorcana trading card data sourced from the Lorcania API. Features include card lookup by name or filter criteria, deck-building queries, keyword and ability searches, statistical aggregations like ink curves and color distributions, and cross-filter queries. Cards are cached locally in SQLite for fast subsequent access. Available as a Docker container image on GHCR.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/danielenricocahall-lorcana)

## 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": "danielenricocahall-lorcana"
    }
  }
}
```

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