Visual Language
Enables intelligent image analysis using GLM-4.5V model, specializing in extracting and analyzing code from screenshots with support for file paths and clipboard input.
What is Visual Language?
Visual Language is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables intelligent image analysis using glm-4.5v model, specializing in extracting and analyzing code from screenshots with support for file paths and clipboard input.
Enables intelligent image analysis using GLM-4.5V model, specializing in extracting and analyzing code from screenshots with support for file paths and clipboard input.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables intelligent image analysis using GLM-4.5V model, spe
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-visual-languageConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Visual Language
What is Visual Language?
Visual Language is a Model Context Protocol (MCP) server that enables intelligent image analysis using glm-4.5v model, specializing in extracting and analyzing code from screenshots with support for file paths and clipboard input. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Visual Language?
Follow the installation instructions on the Visual Language GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Visual Language?
Visual Language works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Visual Language free to use?
Yes, Visual Language is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Visual Language in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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