AI Metadata Cleaner MCP Server

by aimetadatacleaner Your server? Claim it

answering

AI Metadata Cleaner is answering right now. Last checked 8 min ago. 18 installs a week from npm.

Remove GPS, device details, dates and AI labels from video, PDF, RAW and photo files.

Installs per day peak 424 · avg 25 · -85% w/w

a month agotoday

Uptime history 29 days of history · worst day 98%

29 days agonow

100.0%

Uptime 24h

91 of 91 checks

—

Tools

hidden behind auth

127 ms

Response time

average over 24h

Installs / week

npm and PyPI

Nothing serious here today

Today is the operative word: we check AI Metadata Cleaner every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add metadata-cleaner --transport http https://api.aimetadatacleaner.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://api.aimetadatacleaner.com/mcp

~/.codex/config.toml

[mcp_servers.metadata-cleaner]
url = "https://api.aimetadatacleaner.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "metadata-cleaner": {
      "url": "https://api.aimetadatacleaner.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "metadata-cleaner": {
      "type": "http",
      "url": "https://api.aimetadatacleaner.com/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://api.aimetadatacleaner.com/mcp	streamable-http	sign-in	122 ms	8 min ago

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AI Metadata Cleaner — questions

Answers built from our own checks of this server.

Why is there no tool list for AI Metadata Cleaner?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is AI Metadata Cleaner working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 127 ms. The bar chart above shows every period we have measured.

How do I connect AI Metadata Cleaner?

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 is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to AI Metadata Cleaner?

No API key is involved. AI Metadata Cleaner answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How fast is AI Metadata Cleaner?

It answers our handshake in 127 ms on average, which is faster than 93% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use AI Metadata Cleaner?

The npm package aimetadatacleaner-mcp was installed 18 times in the last week. Week over week that is -85%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.