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PopNx MCPMCP servers for people who use AI · explained in plain words

Visiongemma

by q1023884985version 2.1.0i★ –iRuns on your computer
Registry nameio.github.q1023884985/visiongemma

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "visiongemma": {
      "command": "uvx",
      "args": [
        "visiongemma-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add visiongemma -- uvx visiongemma-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "visiongemma": {
      "command": "uvx",
      "args": [
        "visiongemma-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "visiongemma": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "visiongemma-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account q1023884985, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2764 servers in this category
  • Published to the registry more recently than 24% of the other 2764 servers in this category
  • Basic checks equal to or better than 100% of the other 2764 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Visiongemma safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.1.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

VisionGemma - 本地图片识别 + AI 桌宠

[!WARNING]

本项目已淘汰归档,不再维护。保留仓库与 Release 附件仅供已有用户追溯,新用户请勿使用。

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:

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:

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:

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:

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

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:

{

"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

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