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Describe images, videos, audio, and text through Gemini live sessions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gemini-vision-mcp" yet — see the docs or source repo.
Use gemini-vision-mcp to analyze this image and return the main objects, scene, visible text, and a one-line summary.
A structured image description with objects, scene, detected text, and a short summary.
Use gemini-vision-mcp to describe the main events, actions, and scene changes in this video, then summarize the key content.
A concise output covering key events, actions, scene changes, and an overall summary.
Use gemini-vision-mcp to explain the main content of this audio and briefly interpret the accompanying text.
A description of the audio content plus a brief analysis of the text.
Developers or researchers can use it to parse images, videos, audio, and text with one interface and get readable descriptions or summaries. It is useful when multiple input types need to flow through the same AI pipeline.
When content needs to be processed continuously, it can interact with the Gemini Live API through persistent WebSocket sessions. This fits scenarios where inputs and analysis results are exchanged continuously.
For MCP-based products or automations, this tool can act as a backend service for multimodal description tasks. It is suitable for integrating media understanding into existing AI assistants or workflows.
It is an MCP server for describing videos, images, audio, and text through the Gemini 3.1 Flash Live API. A notable feature is its use of persistent WebSocket sessions.
Based on the description, it supports video, image, audio, and text inputs. For specific format limits, see the source repository.
It is known to depend on the Gemini 3.1 Flash Live API and works through persistent WebSocket sessions. For installation, API key setup, and runtime requirements, see the source repository.
Use Gemini without API keys for research, analysis, and media generation.
Generate images and videos through Gemini models for creative and prototype workflows.
Help AI coding assistants analyze long videos with segment insights and Q&A.
Access Gemini through MCP clients for Q&A, generation, and development workflows.
Connect Gemini to Claude Code for search, code analysis, and multimodal understanding.
Analyze images and videos with Gemini for fast, reliable visual insights.