About
A Model Context Protocol server that interfaces with the 大学院废墟 API, providing tools to query MTG card information by set, number, or search terms, and generate image mosaics of cards.
Capabilities

The Sbwsz MCP Server is a Model Context Protocol (MCP) implementation that bridges AI assistants with the public API of 大学院废墟 (Sbwsz.com), a comprehensive database of Magic: The Gathering cards in Chinese. By exposing the API through MCP, developers can let Claude or other AI agents query card details, search by complex filters, and even generate visual mash‑ups of cards—all without writing HTTP requests or handling authentication.
At its core, the server offers a set of declarative tools that map directly to Sbwsz’s endpoints. For example, retrieves a single card from a specified set and collector number; allows rich query strings (e.g., “t:creature c:r” or “pow>=5 or mv<2”) and supports pagination, sorting, and advanced filtering. Additional tools such as , , and provide metadata about card sets, while the tool turns arbitrary text into an image composed of card artwork—a creative way to generate themed visuals or marketing assets.
These capabilities are valuable for developers building AI‑powered card game assistants, deck‑building tools, or educational applications. A user could ask an AI assistant for “the strongest red creature in the latest set” and receive a precise card object, or request “a list of all cards with power ≥ 5 in the Aether Vial set” and get a paginated response. The image generation tool can be used in chatbots or social media bots to create instant card collages from user prompts, enhancing engagement.
Integration is straightforward: the server can run in STDIO mode for direct coupling with desktop MCP clients like Claude Desktop, or in HTTP mode to expose a RESTful endpoint () that any MCP‑compatible client can query. Docker images are provided for quick deployment, and the configuration files illustrate how to register the server in a local MCP client. Because all interactions are expressed as structured tools, developers can embed these calls into larger AI workflows—combining card queries with natural language reasoning or game state analysis—without managing lower‑level HTTP details.
In summary, the Sbwsz MCP Server turns a niche card database into a first‑class AI service. It solves the problem of tedious API integration, offers rich search and image generation features, and integrates cleanly into existing MCP pipelines. For developers building AI assistants around Magic: The Gathering or similar card games, this server provides a ready‑made, extensible bridge to high‑quality Chinese card data.
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