Lorcana Mcp
by danielenricocahallcommunityv2.3.0
1
This MCP server allows users to search and aggregate Disney Lorcana cards efficiently by fetching data from an external API and caching it locally.
From the registry: MCP server for searching, exploring, and aggregating Disney Lorcana cards.
Install & configure
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `lorcana-mcp` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `uv`
- args: ["run","python","/absolute/path/to/lorcana-mcp/main.py"]
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Tools (10)
search_cards
filter and retrieve card objects
count_cards
count cards matching a filter without returning full objects
get_card_by_id
fetch a single card by its ID
aggregate_cards
count cards grouped by any field
ink_curve_stats
card counts by ink cost
top_traits
most common traits across all cards
color_distribution
card count per color
rarity_breakdown
card count per rarity
set_distribution
card count per set
server_status
startup metadata (card count, config)
Environment variables
LORCANA_CACHE_PATHrequiredlocal file for caching fetched cardsLORCANA_REFRESH_ON_STARTUPrequiredcontrols whether to fetch from API on startupLORCANA_SKIP_IF_DB_EXISTSrequiredcontrols whether to skip API fetch if cache existsPackages
ghcr.io/danielenricocahall/lorcana-mcp:2.3.0
ocitransport: stdio
Details
- Language
- Python
- License
- MIT
- Released
- Aug 3, 2026
- Last commit
- Aug 4, 2026
- Registry name
- io.github.danielenricocahall/lorcana-mcp