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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.
Analyze images through one MCP tool using any OpenAI-compatible endpoint.
Add image understanding to AI coding assistants for screenshot-based development analysis.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Register multiple AI endpoints and auto-route models by capability.
Generate text descriptions from images with fast fallback vision model support.
Convert OpenAPI specs into MCP servers so AI agents can call APIs.