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Use vision models via OpenRouter for OCR, image analysis, and object detection.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Vision MCP Server" yet — see the docs or source repo.
Run OCR on this screenshot, extract all visible text in reading order, and mark any unreadable parts.
Returns the extracted text in order and notes any unclear regions.
Inspect this image and answer: what are the main objects, and roughly where are they located? Use bullet points.
Outputs concise answers grounded in the image content.
Perform object detection on this image and list the detected object classes with their approximate locations.
Returns a list of detected objects and location notes for further analysis.
Researchers, office workers, or developers can use it to run OCR on screenshots, scans, or UI images and extract text for search, archiving, or downstream processing.
When users need to understand image content, they can use visual Q&A to ask what is shown, what is happening, or where key elements are located.
Developers can call object detection in multimodal workflows to identify object classes and locations as part of automated image analysis.
This is an MCP server that provides multimodal vision tools such as image description, OCR, visual Q&A, and object detection. It uses OpenRouter to access vision models for these tasks.
Based on the description, it depends on OpenRouter and a vision model, so you will typically need working OpenRouter access. For exact keys, environment variables, or runtime requirements, see the source repository.
It is focused on vision capabilities, letting you process images directly for OCR, image understanding, Q&A, and object detection. Text-only tools usually do not cover these image analysis functions.
Analyze images and video, extract text, and compare visuals with AI.
Capture screenshots and analyze screens, windows, and images with vision models.
Lets text-only models analyze and describe images via multimodal APIs.
Generate text descriptions from images with fast fallback vision model support.
Analyze screenshots, text, and UI mockups through one vision MCP tool.
Enable any LLM to describe images from paths, URLs, or base64.