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.
Maintainers
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)
- 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
- Node.js 18.17 or newer
- An API key. Keys come with the Business plan: https://aimetadatacleaner.com/api-keys
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-mcpCursor — 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(reencodeorstrip),keep_pdf_signature.check_usage— jobs and data used this month.
Each file is one job from your monthly allowance.
