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Visiongemma MCP Server

by q1023884985 Your server? Claim it
local only

Visiongemma runs on your own machine — the client starts it, so there is no endpoint to ping. 110 installs a week from pypi. Last commit 13 Sep 2026.

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

Installs per day peak 27 · avg 15 · +1% w/w
a month agotoday
110
Installs / week
pypi · visiongemma-mcp
1
Stars
0 open issues
13 Sep 2026
Last commit
from GitHub
—
License
language unknown

What the code does

We have not read this server's code yet, 1 d ago · rules ccca72095570

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] src/visiongemma_mcp/__init__.py:1, [пакет] src/visiongemma_mcp/__main__.py:1, [пакет] src/visiongemma_mcp/launcher.py:1
этот файл ставится пользователю, но в репозитории его нет
Runs an external command [пакет] src/visiongemma_mcp/launcher.py:40
    proc = subprocess.Popen(

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add visiongemma -- uvx visiongemma-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "visiongemma": {
      "args": [
        "visiongemma-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.visiongemma]
command = "uvx"
args = ["visiongemma-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "visiongemma": {
      "args": [
        "visiongemma-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "visiongemma": {
      "args": [
        "visiongemma-mcp"
      ],
      "command": "uvx"
    }
  }
}

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Visiongemma — questions

Answers built from our own checks of this server.

Why is there no uptime for Visiongemma?
Visiongemma runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package visiongemma-mcp was installed 110 times last week.
How do I connect Visiongemma?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls visiongemma-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Visiongemma?
The pypi package visiongemma-mcp was installed 110 times in the last week. Week over week that is +1%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Visiongemma open source?
We cannot say either way: 1 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.