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Enable AI agents to analyze images with detection and embedding services.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-api-server" yet — see the docs or source repo.
Use mcp-api-server to analyze this image and return detected object classes, bounding box coordinates, and confidence scores sorted from highest to lowest.
A list of detected objects with labels, positions, and confidence scores.
Use mcp-api-server to generate an embedding for this image, and return the vector dimension, format details, and recommendations for similar-image retrieval.
Embedding details for the image plus suggestions for retrieval or clustering use cases.
I am building an AI agent with image understanding. Explain how to call object detection and embedding features through mcp-api-server, and provide a minimal working workflow example.
Developer-oriented integration guidance with call steps, sample parameters, and a basic workflow.
Connect to the mcp API via MCP to extend AI tool capabilities.
Enable AI to edit, transform, and automate advanced image processing tasks.
Detect and analyze objects in images with zero-shot vision models.
Enable AI to understand images with vision analysis, detection, and color extraction.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Build, debug, and manage software tasks with natural language across LLMs.