Ygocdb MCP Server

Overview

The Ygocdb MCP Server bridges the gap between AI assistants and the extensive Yu‑Gi‑Oh! card database maintained by ygocdb.com. By exposing a lightweight, Model Context Protocol interface, it allows developers to enrich conversational agents with instant access to card information—names, effects, statistics, and high‑resolution images—without the need for custom API wrappers or manual data ingestion. This solves a common pain point: many game‑centric AI applications require authoritative card data that is both up‑to‑date and searchable, yet most public APIs are fragmented or lack a unified query language. Ygocdb MCP consolidates these resources into a single, predictable endpoint that Claude and other MCP‑compatible assistants can call with simple tool invocations.

At its core, the server implements three primary tools: search_cards, get_card_by_id, and get_card_image. search_cards accepts a keyword string and returns a list of matching Yu‑Gi‑Oh! cards, supporting fuzzy name lookup as well as effect text searches. get_card_by_id retrieves a full record for a specific card, including attributes such as type, level, attack/defense points, and lore. get_card_image fetches the card’s official illustration via a CDN URL. These tools are designed to be stateless and idempotent, ensuring consistent responses across repeated calls—a critical property for deterministic AI workflows.

Developers can integrate the server into their existing MCP ecosystems in two straightforward ways. Running the service in STDIO mode (the default) lets it pipe requests directly to local clients like Claude Desktop, eliminating network overhead. For containerized or remote deployments, the HTTP mode exposes a endpoint on port 8081, making it trivially accessible from any MCP‑enabled tool or web service. Docker images are pre‑built, and cross‑platform environment variables are handled automatically, so the server runs uniformly on Windows, macOS, and Linux.

Real‑world use cases abound. A tabletop simulator could query card stats on demand to validate player actions, while a chat‑based game guide might fetch card images to illustrate strategy explanations. Educational bots could pull historical card data for trivia or analytics, and community forums could embed live search widgets powered by the same MCP interface. Because the server leverages the official ygocdb API, it guarantees data freshness—new releases or errata are reflected immediately without manual updates.

What sets Ygocdb MCP apart is its tight coupling with a dedicated card database, eliminating the need for third‑party aggregation or caching layers. The service’s simple tool set aligns perfectly with MCP’s intent‑driven model, enabling AI assistants to ask for precise card details or images without overcomplicating the request syntax. For developers building AI experiences around Yu‑Gi‑Oh!, this server delivers authoritative, low‑latency card data in a format that plugs seamlessly into any MCP‑compatible workflow.