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
| Parameter | Type | Description |
|---|---|---|
image_path |
string (required) | Local absolute path, http(s):// URL, or base64 data URI of the image |
prompt |
string (optional) | Question or instruction about the image (default: "please describe this image") |
Privacy & licensing
- All processing is local and offline — no data leaves your device.
- Windows 10/11 x64, Vulkan-capable GPU (or CPU fallback).
Metadata
Release files for visiongemma-mcp 2.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| visiongemma_mcp-2.1.2.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| visiongemma_mcp-2.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / visiongemma_mcp-2.1.2.tar.gz
| Download URL | visiongemma_mcp-2.1.2.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
|
Release files / visiongemma_mcp-2.1.2-py3-none-any.whl
| Download URL | visiongemma_mcp-2.1.2-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.9
|