Remove AI Watermarks: MCP server, setup and security

What Remove AI Watermarks does

According to its repository: “Identify and remove AI watermarks and provenance metadata (Gemini and Veo marks, SynthID, C2PA, EXIF) in images and video you generated yourself, plus provenance metadata in audio. Runs as uvx remove-ai-watermarks mcp.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Remove AI Watermarks is listed under Image, video and audio, a category of 67 servers in the directory, where it ranks #3 by stars.

Topics declared by the repository: cli, image-processing, metadata, watermark-removal, c2pa, gemini.

Installing and connecting Remove AI Watermarks

Distribution modes declared in the official MCP registry:

• PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Remove AI Watermarks. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 25, 2026, the wiltodelta/remove-ai-watermarks repository has 6,115 stars and 567 forks, with 2 open issues. It has more stars than 97% of the servers in the directory. It received changes this month. Version published in the registry: 0.47.1 (October 23, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.