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Analyze images in Claude Code with Zhipu AI's GLM-4.6V model.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "glm-mcp-server" yet — see the docs or source repo.
Use glm-mcp-server to analyze this product UI screenshot, identify the main sections, button areas, and visible copy, and return the result as structured bullet points.
A structured image analysis of the screenshot, including UI elements and visible information.
In Claude Code, use glm-mcp-server to analyze this image and summarize the main subject, readable text, and important visual cues.
A summary of the image subject, extracted text, and key visual characteristics.
I am working with an image in Claude Code. Use glm-mcp-server to analyze the image first, then provide a structured description suitable for downstream processing.
An image understanding result followed by a structured description that can be used in downstream workflows.
Developers working with screenshots or images in Claude Code can use this MCP tool to call GLM-4.6V for image analysis. This helps turn image content into text that is easier to process downstream.
When designers or researchers need to quickly understand elements and information in an image, they can use this tool inside Claude Code for analysis. It is suitable for turning visual content into structured descriptions.
It is an MCP tool that enables image analysis in Claude Code using Zhipu AI's GLM-4.6V vision model. Its core capability is helping users understand image content.
The provided description shows that it relies on Zhipu AI's GLM-4.6V vision model. Other prerequisites or API key setup details were not provided; see the source repository.
The available material only says it enables image analysis in Claude Code and does not include installation steps. For exact setup and integration instructions, see the source repository.
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Analyze images through MCP clients and get text answers from vision models.