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Add private local image and video frame understanding to AI assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MiniCPM Vision MCP" yet — see the docs or source repo.
Use MiniCPM Vision MCP to analyze this local image, describe the main subjects, extract visible text, note key details, and provide a concise summary suitable for a report.
Returns an image description, OCR text extraction, key findings, and a directly usable summary.
Use MiniCPM Vision MCP to analyze this video by key frames, identify when the UI issue appears, and summarize what happens in each abnormal frame.
Outputs frame-level issue localization with timestamps, observed symptoms, and a troubleshooting summary.
I have a batch of product screenshots that cannot be uploaded to the cloud. Use MiniCPM Vision MCP to check for layout shifts, missing elements, or copy errors, and classify them by severity.
Generates locally processed visual QA results listing issue types, affected screenshots, and severity groups.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
Connect text-only models to vision APIs for image understanding and analysis.
Analyze local or remote images with vision LLMs and generate descriptions.
Let reasoning models inspect images through description-only vision integration.
Convert images into text descriptions so text-only LLMs can answer visual queries.
Enable non-vision AI clients to analyze images with local Ollama vision models.