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Visiongemma

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Local AI vision MCP server for Windows: OCR, chart analysis, scene description. 100% offline.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "visiongemma": {
      "command": "npx",
      "args": [
        "-y",
        "visiongemma"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

VisionGemma - 本地图片识别 + AI 桌宠

在完全本地的 Windows 电脑上运行的开箱即用图片识别工具 + 趣味 AI 桌宠。图片识别全程在本机完成,不上传任何数据。

产品展示

Agent 自动调起识别

当你的 AI 助手遇到图片、又恰好不支持图片输入时,VisionGemma 会作为 MCP 工具被自动调起,把"看图能力"无缝交给它:

Agent 自动调起识别

一键接入你的 AI 助手

不用手写配置文件。软件内置对接引导,复制一段话粘贴给 AI 助手,或直接复制配置 JSON,即可完成 MCP 对接:

一键 MCP 对接

本地精准识别

选图 → 识别 → 得到结构化描述,全程离线。产品图、截图、图表都能看懂:

本地精准识别

趣味 AI 桌宠

桌面陪伴小宠物,支持自然对话、识别屏幕与图片:

趣味 AI 桌宠

功能特性

  • 傻瓜式部署:下载解压,双击运行,自动下载模型并完成配置,零命令行、零环境配置
  • Agent MCP 对接:可作为 MCP 服务器接入任意 AI 工具(vision_analyze 工具),让 AI 获得看图能力
  • 本地图片识别:图片分析、OCR 文字提取(中英文)、图表解读、场景描述全部在本机完成
  • Vulkan 加速:支持 NVIDIA / AMD / Intel 显卡硬件加速;无独显时自动回退 CPU 运行
  • 趣味 AI 桌宠:托盘启动可爱桌宠,可对话、可识别屏幕/图片,互动陪伴
  • 隐私安全:所有识别完全离线本地完成,不上传任何数据到云端
  • 单文件免安装:一个 exe 即完整运行,内置 Vulkan 引擎与桌宠

系统要求

  • Windows 10/11 x64
  • 显卡支持 Vulkan(NVIDIA / AMD / Intel 均可,推荐硬件加速)
  • 无独显时自动回退 CPU 运行
  • 磁盘剩余空间 >= 5GB(模型约 3.2GB)

下载

GitHub Release(推荐)

前往 Releases 页面下载 v2.1.1

安装包:VisionGemma-20260821.zip SHA256:83C6170BBD7367B1A535A586BEE08F6BAC73F5EAC089736E189B62017532B944

国内镜像

  • Gitee Release(分卷下载,合并后解压)
  • GitCode Release

快速开始

  1. 解压压缩包,双击 VisionGemma.exe,首次运行自动打开配置向导
  2. 向导引导自动下载模型(约 3.2GB,支持断点续传)
  3. 下载完成后即可开始使用

趣味桌宠

  1. 右键托盘图标 →「趣味桌宠」,可快速启动桌宠,自动拉起本地识别引擎
  2. 桌宠支持对话、选择主题等功能
  3. 可通过托盘菜单设置开机自启

作为 MCP 服务器使用(接入 AI 工具)

在 AI 工具的 MCP 配置中加入:

config.json
{
  "mcpServers": {
    "vision-gemma": {
      "command": "VisionGemma.exe 完整路径",
      "args": ["--mcp"],
      "type": "stdio"
    }
  }
}

然后即可调用 vision_analyze 工具识别图片。更省事的做法:打开软件的「对接引导」,复制话术粘贴给 AI 助手即可。

文件说明

  • VisionGemma.exe 主程序(内置 Vulkan 引擎 + 桌宠,单文件免安装)
  • 模型存放于 %LOCALAPPDATA%\VisionGemma\models

隐私说明

所有图片识别完全在本地完成,不上传任何数据。

售后支持

  • QQ:1023884985
  • 微信:13147295520
  • 邮箱:1023884985@qq.com

友情链接

  • 爱AI工具库
  • doforai - 发现最佳人工智能工具

Read the full README →View source on GitHub →

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Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Visiongemma

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "visiongemma": { "command": "npx", "args": ["-y", "visiongemma"] } }

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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