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Image Recongnition MCP Server

local only

Image Recongnition MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 50 installs a week from npm. Last commit 10 Sep 2025.

MCP server for AI-powered image recognition and description using OpenAI vision models.

No commits for 13 months.

Installs per day peak 15 · avg 5 · +2% w/w
a month agotoday
50
Installs / week
npm · image-recongnition-mcp
5
Stars
0 open issues
10 Sep 2025
Last commit
no releases in 90 days
ISC
License
JavaScript

What the code does

We read the source, 4 d ago · rules 995398eba69f

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.

Package points at a different repository mcp-s-ai/image-recongnition-mcp
пакет image-recongnition-mcp ссылается на mcp-s/secure-mcp-gateway

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 image-recongnition-mcp -e 'OPENAI_API_KEY=<OPENAI_API_KEY>' -- npx -y image-recongnition-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "image-recongnition-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "image-recongnition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.image-recongnition-mcp]
command = "npx"
args = ["-y", "image-recongnition-mcp"]
env = { OPENAI_API_KEY = "<OPENAI_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "image-recongnition-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "image-recongnition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "image-recongnition-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "image-recongnition-mcp"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>"
      }
    }
  }
}

Put your own value in place of <OPENAI_API_KEY> (Your OpenAI API key for image recognition and description services). The author’s registry entry marks it as required.

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Image Recongnition MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Image Recongnition MCP?
Image Recongnition MCP 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 npm package image-recongnition-mcp was installed 50 times last week.
Is Image Recongnition MCP still maintained?
No commits for 13 months. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Image Recongnition MCP?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls image-recongnition-mcp straight from npm; nothing to host, nothing to sign up for.
How many people use Image Recongnition MCP?
The npm package image-recongnition-mcp was installed 50 times in the last week. Week over week that is +2%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Image Recongnition MCP open source?
Yes — it is published under the ISC licence, written in JavaScript and 5 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.