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Adds image and video analysis to Claude Desktop via vision APIs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sight-mcp" yet — see the docs or source repo.
Use sight-mcp to analyze this product UI screenshot, identify the main sections, button hierarchy, and possible usability issues, then give brief improvement suggestions.
A visual analysis of the interface structure, key elements, and usability issues.
Use sight-mcp to analyze this video, summarize the main scenes, key actions, and overall theme, and produce a concise summary.
A summary of the video's main content, scene changes, and theme.
Compare these two images with sight-mcp, point out visual differences, shared elements, and which changes are most noticeable.
A comparison of the two images, including differences and common elements.
Developers, researchers, or office workers can call it inside Claude Desktop to analyze image or video content directly. It is useful for turning visual input into structured descriptions, summaries, or observations.
When a team already uses OpenAI GPT-4o, Claude, or another compatible vision API, this MCP server can provide a unified way to access vision analysis. That enables multi-model visual understanding inside Claude Desktop.
It is an MCP server that brings AI vision capabilities to Claude Desktop. It can analyze images and videos using OpenAI GPT-4o, Claude, or another compatible vision API.
The provided information says it supports OpenAI GPT-4o, Claude, and any compatible vision API. For the exact compatibility scope, see the source repository.
The current material does not include installation or configuration steps. For prerequisites, API key requirements, and setup details, see the source repository.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
Analyze local or remote images with vision LLMs and generate descriptions.
Describe images, extract text, and run custom vision prompts on local files.
Connect your own vision endpoint to run image analysis through MCP.
Add private local image and video frame understanding to AI assistants.
Capture app or webpage screenshots and analyze them with a local vision model.