ximilar-mcp-server
Ximilar publishes a first-party MCP server for its Computer Vision Platform. It is a Python FastMCP server distributed inside the official ximilar-client repository (ximilar/server/server.py) and run locally over stdio by the user's MCP client; there is no hosted/remote MCP endpoint. The tool list below was read from the provider's MCP documentation page AND verified against the server source, which is why fashion_region_id appears here even though the docs table omits it.
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Documentation
Documentation link · transport stdio
Tools
grade_card— Grade collectible cards such as TCGs and sports cards (corners, edges, surface, centering).tcg_card_id— Identify trading card game (TCG) cards from an image URL or file path.sports_card_id— Identify sports cards from an image URL or file path.comic_book_and_manga_id— Identify comic books and manga from an image.tcg_price_data_search— Search prices and listings for TCG cards using a text query (name + set + card number).visual_search— Find visually similar images with KNN search inside one of your collections.fashion_detect_tags— Detect fashion objects and their tags; optionally tag every detected object rather than the largest.fashion_meta_tags— Return fashion meta tags — Background, Scene, View and Person part.fashion_region_id— Detect the fashion region of an image (e.g. Indian, generic).fashion_detect— Detect fashion objects and their locations only, without tagging.fashion_tags— Return fashion tags and attributes only, without detection.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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