Lorcana Mcp

by IcaroBichir

528 downloads
Not rated
GitHub

About

MCP server for Disney Lorcana TCG — enrich TCGPlayer collection exports, look up card stats and format legality, and filter by Core / Infinity / Poorcana

Details

Author
IcaroBichir
Downloads
528
Categories
Other

- Enriches TCGPlayer exports with 10 additional card data columns
- Looks up any Lorcana card by name for full stats and image URL
- Filters collections by format legality (core, infinity, regionals, poorcana)
- Audits enriched files against live API data for stale fields
- Produces a dreamborn.ink‑compatible import file
- Caches API responses locally for 24 hours

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Lorcana Mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via pip install lorcana-mcp, then add it to Claude Desktop or Claude Code using lorcana-mcp serve as the command. Once connected, use natural language to invoke the four tools: enrich_csv, lookup_card, filter_collection, and audit_csv. No slash commands are needed.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "lorcana mcp": {
            "lorcana": {
                "command": "lorcana-mcp",
                "args": [
                    "serve"
                ]
            }
        }
    }
}

McpServers

{
    "lorcana": {
        "command": "lorcana-mcp",
        "args": [
            "serve"
        ]
    }
}

lorcana-mcp

PyPI
Python
License: MIT
MCP Registry
mcp.so

MCP server that connects Claude to Disney Lorcana card data. Export your collection from TCGPlayer, hand it to Claude, and get it fully enriched with ink cost, stats, keywords, abilities, and format legality — plus a ready-to-import file for dreamborn.ink.

---

Tools

Four tools are available in Claude once the server is running:

| Tool | What it does |
|---------------------|---|
| enrich_csv | Enriches a raw TCGPlayer export with Ink, Cost, Type, Subtypes, STR/WIL/Lore, Inkable, Keywords, and Abilities. Writes an enriched CSV and a dreamborn.ink-ready import file next to the input. |
| lookup_card | Looks up any card by name. Returns full stats, ability text, format legality, and card image URL. |
| filter_collection | Filters your collection to cards legal in a given format: core, infinity, core_zh, core_ja, or poorcana. |
| audit_csv | Compares an enriched collection against live API data and reports any stale or wrong fields. |

---

Listed on

| Directory | Link |
|---|---|
| MCP Registry (official) | registry.modelcontextprotocol.io |
| mcp.so | mcp.so/server/lorcana-mcp |
| PyPI | pypi.org/project/lorcana-mcp |

---

Install

pip install lorcana-mcp

Or from source:

git clone https://github.com/IcaroBichir/lorcana-mcp
cd lorcana-mcp
pip install .

---

Add to Claude

Claude Code (CLI)

claude mcp add lorcana -- lorcana-mcp serve

Claude Desktop

Find claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\) and add:

{
  "mcpServers": {
    "lorcana": {
      "command": "lorcana-mcp",
      "args": ["serve"]
    }
  }
}

Restart Claude Desktop after saving.

Cursor / other MCP clients

Any client that supports stdio MCP servers can use lorcana-mcp serve as the command.

---

Usage

Once the server is connected, just talk to Claude naturally. No slash commands needed.

Enrich a collection

Export your collection from TCGPlayer → My Collection → Export CSV, then:

> "Enrich my collection at /Users/me/Downloads/Lorcana_063026.csv"

Claude will fetch card data from the APIs and write two files next to your input:
- enriched_Lorcana_063026.csv — your collection with 10 new columns
- dreamborn_Lorcana_063026.csv — ready to import at dreamborn.ink

On re-runs, pass the previous enriched file as a cache to skip already-seen cards:

> "Enrich /Users/me/Downloads/Lorcana_new.csv using /Users/me/lorcana/enriched_Lorcana_old.csv as cache"

Look up a card

> "Look up Mirage - Super Recruiter"

> "What are the stats on Alma Madrigal - Heart of the Family?"

> "Is Will o' the Wisp legal in Core?"

Returns: ink color, cost, type, subtypes, STR/WIL/Lore, inkable status, keywords, full ability text, format legality, and a card image URL.

Filter your collection by format

> "Which of my cards are legal in Core Constructed?"

> "Show me my Infinity-legal cards grouped by ink color"

> "What Poorcana-legal cards do I have in Amber?"

Valid formats: core, infinity, core_zh, core_ja, poorcana

Poorcana filtering uses the Rarity column in your enriched CSV (Common + Uncommon only) — no API call needed.

Core/Infinity/regional legality comes from duels.ink, which tracks the current rotation for each region.

Audit an existing enriched file

> "Audit my collection at /Users/me/lorcana/enriched_collection.csv"

Useful after a new set releases or if a card's data looks wrong. Compares every non-promo card against live API data and reports field-by-field discrepancies.

---

Enriched columns

The enricher adds these 10 columns to the raw TCGPlayer export:

| Column | Description |
|---|---|
| Ink | Ink color(s) — dual-ink cards show both, e.g. Amber, Steel |
| Ink Cost | Numeric cost to play (1–12) |
| Card Type | Character / Action / Action - Song / Item / Location |
| Subtypes | e.g. Storyborn, Hero, Toy |
| Strength | ⚔ stat — blank for Actions, Items |
| Willpower | 🛡 stat — blank for Actions, Items |
| Lore Points | ◆ gained per quest — blank for Actions, Items |
| Inkable | Yes / No |
| Keywords | Comma-separated: Evasive, Shift 3, Singer 5, Resist +1, etc. |
| Abilities | Full card text, pipe-separated lines |

---

Data sources

| Source | Sets | Used for |
|---|---|---|
| LorcanaJSON | All sets (1–14+) | Primary source for Set 12+; fallback for 1–11 |
| lorcana-api.com | Sets 1–11 | Preferred for Sets 1–11 (richer body text) |
| duels.ink | All sets | Format legality, card images |

Card data is cached locally for 24 hours at ~/.cache/lorcana-mcp/. Manage the cache with the CLI:

lorcana-mcp cache stats   # show entry count, expiry status, and file size
lorcana-mcp cache clear   # delete all cached responses (fresh fetch on next use)

---

Supported sets

| Set | Name |
|---|---|
| 1 | The First Chapter |
| 2 | Rise of the Floodborn |
| 3 | Into the Inklands |
| 4 | Ursula's Return |
| 5 | Shimmering Skies |
| 6 | Azurite Sea |
| 7 | Archazia's Island |
| 8 | Reign of Jafar |
| 9 | Fabled |
| 10 | Whispers in the Well |
| 11 | Winterspell |
| 12 | Wilds Unknown |
| 13 | Attack of the Vine! |
| 14 | Hyperia City |

New sets are picked up automatically via LorcanaJSON as long as the set name is added to the internal mapping. Open an issue if a new set isn't resolving.

---

TCGPlayer export format

Go to TCGPlayerMy Account → My Collection → Export. The raw file has columns like Product Name, Set Name, Number, Rarity, Condition, Printing, and Add to Quantity (this is the real owned-quantity column — Total Quantity is always blank in exports).

> Promo cards: skipped in the dreamborn output because dreamborn uses internal promo set numbers that don't match TCGPlayer's format. Add them manually via dreamborn.ink's card search after importing the rest.

---

CLI reference

lorcana-mcp --version
lorcana-mcp serve          Start the MCP server (stdio)
lorcana-mcp cache stats    Show cache info
lorcana-mcp cache clear    Clear cached API responses

---

Development

git clone https://github.com/IcaroBichir/lorcana-mcp
cd lorcana-mcp
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
pytest

74 tests, no network calls required.

---

License

MIT — see LICENSE.

<!-- mcp-name: io.github.IcaroBichir/lorcana -->

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.