VisionGemma MCP

Deprecated — 项目已淘汰归档，不再维护。 保留此包仅供已有用户追溯，新用户请勿使用。

mcp-name: io.github.q1023884985/visiongemma

VisionGemma is a local AI vision recognition MCP server for Windows. It exposes a single vision_analyze tool that lets any MCP client (Claude Desktop, Cursor, Cline, opencode, ...) do:

• OCR — extract text from images and screenshots (Chinese & English)
• Chart / diagram analysis — interpret tables, plots, diagrams and screenshots
• Scene description — describe what is in an image
• Object recognition — identify objects, people, expressions, atmosphere

All inference runs 100% locally via a Vulkan-accelerated on-device engine. Images never leave your machine.

Note: this package is the stdio launcher for the MCP Registry. It requires the VisionGemma engine (Windows x64) to be installed. Download it from the GitHub Releases, then run the installer once.

Installation

pip install visiongemma-mcp

Install the VisionGemma engine from the GitHub Releases page.

MCP configuration

Add to your MCP client config:

{
  "mcpServers": {
    "vision-gemma": {
      "command": "visiongemma",
      "args": ["--mcp"],
      "type": "stdio"
    }
  }
}

Or point directly at the engine executable (no pip install needed):

{
  "mcpServers": {
    "vision-gemma": {
      "command": "C:\\path\\to\\VisionGemma.exe",
      "args": ["--mcp"],
      "type": "stdio"
    }
  }
}

Tool: vision_analyze

Privacy & licensing

• All processing is local and offline — no data leaves your device.
• Windows 10/11 x64, Vulkan-capable GPU (or CPU fallback).