Cardprint
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Cardprint
A deterministic legality and rotation-risk screener for the Pokemon TCG Standard format, wired as an MCP tool node so coding agents can call it the same way they call any Composio tool: JSON-schema in, JSON out.
Why
Set rotation is the single most annoying part of deckbuilding: half the cards in a binder go stale every season, and the answer is always buried in regulation-mark folklore. Cardprint reduces it to one call. Feed it the set marks you are considering and it returns per-card legality, a seeded rotation risk score, and deck-wide percentages. Same seed, same answer, every time - which makes it usable inside agent pipelines where flaky outputs break runs.
Related MCP server: srdcheck
The Composio wiring
The tool node speaks MCP over streamable HTTP (POST /mcp):
initialize/tools/listfollow the standard MCP handshake.tools/callwith{"name": "screen_deck", "arguments": {"marks": ["A","E","H"]}}runs the engine and returns the screen as tool content.When the node is fronted by Composio, the dashboard consumer API key rides along as the
x-consumer-api-keyheader;COMPOSIO_API_KEYis read from the environment and/healthreports whether it is set, never its value.
Run it
node server.js
# separate shell
curl -s localhost:8914/health
curl -s -X POST localhost:8914/mcp -H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"screen_deck","arguments":{"marks":["A","E","V","X"],"seed":2026}}}'Repository layout
engine.js- the deterministic core (seeded PRNG, regulation marks, screener)server.js- MCP framing and thescreen_decktool definitiondemo/- a worked screen of the current rotation window
Scope notes
Regulation marks are data, not logic: the list lives in one array and rotates each season. The risk score is seeded per set, so it is stable across runs and machines but is a modeling artifact, not a prediction. Legality screening is exact for the marks on file.
Security
Found a security issue? Open a GitHub issue on this repository and mark it clearly as a security report; it gets triaged before feature work.
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