Benchmarks
How GammaRemover scores on agent readiness and AI visibility AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.
Decision summary
Developers and AI agent users who export presentations from Gamma.
Overview
What GammaRemover Does
GammaRemover is an open-source tool that removes the "Made with Gamma" watermark from presentation exports. It ships as three artifacts that share the same structural removal engine: an MCP server for AI agents, an agent skill for Claude Code and OpenClaw, and a standalone Python CLI.
All processing happens locally. No file leaves your machine.
How It Works
For AI-agent users, installation is a single command:
claude mcp add gamma-remover -- uvx gamma-watermark-remover-mcp
Once configured, you can instruct an agent to "remove the gamma watermark from ~/Downloads/deck.pdf." The agent selects the appropriate tool, runs the removal locally, and reports exactly how many watermark objects were removed.
If you prefer the command line or need scripted automation, the same engine is available as a pip-installable Python package:
pip install gamma-watermark-remover
gamma-watermark-remover presentation.pptx -o cleaned.pptx
The PDF path uses pypdf to open the document, locate watermark image objects by position and linked annotation, and remove them while preserving page content, metadata, and structure.
Supported Formats and Limits
The tool handles PDF and PPTX files. Keynote .key files are not directly supported — the vendor recommends exporting from Gamma as PPTX, cleaning with the tool, then opening the result in Keynote.
For developers integrating watermark removal into scripts, automation pipelines, or larger applications, the library is importable:
from gamma_watermark_remover import remove_watermark
Who It's For
GammaRemover targets developers and AI-agent users who regularly export from Gamma and need clean, watermark-free deliverables. It fits naturally into MCP-based workflows — see AI Productivity Tools for related tools — and pairs well with agent-skill platforms like PhantomCrew.
Developer documentation is available in eight languages, including Simplified Chinese, Japanese, Korean, Spanish, French, and German.
What to Watch For
The tool is purpose-built for one watermark format from one platform (Gamma). It does not generalize to other watermark types or presentation sources. Mac users who rely on Keynote as their primary editor will encounter extra export-import steps.
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Score anatomy
The dimensions behind the editorial score, each with its judgment note. AI Readiness and GEO Score are platform assessments generated by VibeLaunch after submission.
Agent Readiness
How well an agent can understand this product and reconstruct a documented workflow from its official information.
Evidence check
Public claims about this tool, each tagged with a verification status and its cited source.
Decision desk
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