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Let reasoning models inspect images through description-only vision integration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-eyes" yet — see the docs or source repo.
Explain how to integrate mcp-eyes into my MCP client so a text-only reasoning model can read user-uploaded screenshots, while the vision model returns only objective descriptions and no advice.
A setup guide with architecture notes, call flow, and how to use description-only vision.
Use mcp-eyes to read this product UI screenshot, first produce a pure description, then let the reasoning model summarize the page modules, information hierarchy, and likely user action paths.
First an advice-free image description, then a structured page analysis.
Use mcp-eyes to describe the title, axes, legend, and major trends in this chart image, then have the reasoning model generate an objective summary without guessing unseen data.
A description of chart elements plus a concise analysis summary based on that description.
Enable AI to understand images with vision analysis, detection, and color extraction.
Detect and analyze objects in images with zero-shot vision models.
Search across multiple web sources and get synthesized answers with citations.
Enable non-vision agents to describe images, run OCR, and extract structured data.
Lets text-only models analyze and describe images via multimodal APIs.
Connect text-only models to vision APIs for image understanding and analysis.