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aimetadatacleaner-mcp

v0.1.3

Published

Remove metadata (GPS, device, dates, AI labels) from video, PDF, RAW and photos from Claude, Cursor and other AI assistants. Uses the AI Metadata Cleaner API.

Readme

AI Metadata Cleaner MCP server

Remove hidden metadata from your files by asking your AI assistant:

"Remove the location and camera details from the videos in ~/Downloads/trip"

It removes GPS locations and tracks, phone and camera models, serial numbers, dates, author and software names, and AI-generation labels from:

  • Video: MP4, MOV, M4V, 3GP, MKV, WebM (video and sound are not re-encoded)
  • PDF
  • Camera RAW: CR2, CR3, NEF, ARW, RAF, RW2, DNG
  • Photos: JPEG, PNG, WebP

Each file is sent to the AI Metadata Cleaner server, cleaned, checked, and saved next to the original as name-clean.ext. Your originals are never changed. Files are deleted from the server right after cleaning, and the clean copy right after it is downloaded.

You need

Set up

Claude Desktop — Settings → Developer → Edit Config, then add:

{
  "mcpServers": {
    "aimetadatacleaner": {
      "command": "npx",
      "args": ["-y", "aimetadatacleaner-mcp"],
      "env": { "AMC_API_KEY": "amc_live_..." }
    }
  }
}

Claude Code

claude mcp add aimetadatacleaner -e AMC_API_KEY=amc_live_... -- npx -y aimetadatacleaner-mcp

Cursor — add the same block as Claude Desktop to ~/.cursor/mcp.json.

Full guide for every app: https://aimetadatacleaner.com/mcp

Tools

  • clean_files — clean files or folders (a folder means the supported files directly inside it). Options: output_dir, image_mode (reencode or strip), keep_pdf_signature.
  • check_usage — jobs and data used this month.

Each file is one job from your monthly allowance.