基准评分
GammaRemover 在 Agent 就绪度与 AI 可见性上的得分 AI 就绪度和 GEO Score 是 VibeLaunch 在提交后生成的平台评估。
决策摘要
Developers and AI agent users who export presentations from Gamma.
Removing the Made with Gamma watermark from PDF and PPTX presentation exports.
适合
- Gamma users who need clean, watermark-free exports
- Developers integrating watermark removal into automated pipelines
- AI-agent workflows using MCP-compatible clients
注意
- No direct support for Apple Keynote .key files — requires PPTX export round-trip
- Limited to Gamma.app watermark removal only — not a general-purpose watermark tool
- No direct support for Apple Keynote .key files — requires a PPTX export round-trip.
概述
GammaRemover 的功能
GammaRemover 是一个开源工具,用于去除演示文稿导出中的 "Made with Gamma" 水印。它包含三个共享相同结构去除引擎的构件:面向 AI 代理的 MCP 服务器、用于 Claude Code 和 OpenClaw 的代理技能,以及独立的 Python CLI。
所有处理都在本地进行。没有文件离开你的机器。
工作原理
对于 AI 代理用户,安装只需一条命令:
claude mcp add gamma-remover -- uvx gamma-watermark-remover-mcp
配置完成后,你可以指示代理“去除 ~/Downloads/deck.pdf 中的 gamma 水印”。代理会选择适当的工具,在本地运行去除操作,并准确报告有多少个水印对象被移除。
如果你更喜欢命令行或需要脚本化自动化,同样的引擎也可作为 pip 可安装的 Python 包使用:
pip install gamma-watermark-remover
gamma-watermark-remover presentation.pptx -o cleaned.pptx
PDF 路径使用 pypdf 打开文档,通过位置和链接注释定位水印图像对象,并在保留页面内容、元数据和结构的同时移除它们。
支持的格式与限制
该工具支持 PDF 和 PPTX 文件。Keynote .key 文件不直接受支持——开发者建议从 Gamma 导出为 PPTX,用工具清理,然后在 Keynote 中打开结果。
对于将水印去除集成到脚本、自动化管道或更大应用程序中的开发者,该库可直接导入:
from gamma_watermark_remover import remove_watermark
适用人群
GammaRemover 面向经常从 Gamma 导出并需要干净无水印交付物的开发者和 AI 代理用户。它自然地适应基于 MCP 的工作流程——参见AI 生产力工具了解相关工具——并与 PhantomCrew 等代理技能平台配合良好。
开发者文档提供八种语言版本,包括简体中文、日语、韩语、西班牙语、法语和德语。
注意事项
该工具专为来自一个平台(Gamma)的一种水印格式而构建。它不适用于其他水印类型或演示文稿来源。依赖 Keynote 作为主要编辑器的 Mac 用户将需要额外的导出-导入步骤。
评价 (0)
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评分构成
编辑评分由哪些维度构成,每项附判断依据。 AI 就绪度和 GEO Score 是 VibeLaunch 在提交后生成的平台评估。
Information quality
Developer documentation is thorough and available in eight languages. Configuration examples and CLI syntax are directly verifiable. All evidence is vendor-sourced with no independent third-party review available in the source packet.
Multilingual MCP configuration guides with explicit JSON and command-line examples across en, zh, ja, ko, es, fr, de locales.
Ease of use
Single-command MCP installation and natural-language agent invocation make the primary workflow extremely low-friction. The CLI path adds a pip install step but remains straightforward for developers.
One-command install via claude mcp add; agent accepts plain-English instructions like 'remove the gamma watermark from ~/Downloads/deck.pdf.'
Feature depth
PDF and PPTX removal with structural preservation is solid for the target use case, but the tool addresses exactly one watermark format from one platform. No Keynote support, no batch UI, no preview capability.
pypdf-based structural removal preserves content and metadata. PPTX CLI path confirmed. Keynote explicitly unsupported per vendor documentation.
Workflow fit
Integrates cleanly into MCP-based AI agent workflows and Python automation pipelines. The PPTX-to-Keynote workaround adds friction for Mac-centric teams. Narrow scope limits utility outside Gamma export pipelines.
MCP server for Claude ecosystem; importable Python library for scripts and CI/CD; SKILL.md alternative for Claude Code and OpenClaw.
Reliability
Vendor claims structural preservation and accurate object-count reporting. The open-source model enables community inspection, but no independent test results or error-rate data are available in the source packet.
Documented pypdf approach identifies watermarks by position and linked annotation. Agent reports exact count of removed objects. All claims are vendor-sourced.
Value
Fully open-source and free. For Gamma users who need watermark-free exports, the tool replaces either manual editing labor or a paid Gamma subscription tier. The value proposition is strongest when integrated into automated workflows.
Open-source Python package available via pip with no usage restrictions or paid tiers mentioned in the source packet.
评分反映可查证的产品资料,不代表实际使用效果保证。
Agent 就绪度
评估 Agent 能否通过产品的官方信息理解产品,并重建一条有文档依据的工作流程。
Automated agent-readiness assessment of https://gammaremover.com/: 3 of 22 checks verified across 1 fetched pages. No substantial machine interface is documented — agents can understand and cite the product but not operate it. Absent: docs, agent_tooling_artifacts, quickstart, api_reference, authentication, request_examples.
就绪度维度
| 评估维度 | 得分 |
|---|---|
| 文档质量 | 0 |
| 执行结果可验证性 | 0 |
| 机器接口 | 18 |
| 项目定位清晰度 | 75 |
| 资源可发现性 | 55 |
| 工作流完整度 | 0 |
对 Agent 有帮助的部分
- llms txt: verified during this run
- sitemap: verified during this run
- mcp: verified during this run
Agent 受阻的部分
- No documentation or developer pages discovered from the entry page or well-known paths.
- No agent instruction files, code-distribution commands, or named slash-command skills found across fetched pages.
- No quickstart signal matched across 1 fetched pages.
- No authentication signal matched across 1 fetched pages.
- No request examples signal matched across 1 fetched pages.
- No response examples signal matched across 1 fetched pages.
| 检查项 | 状态 | 详情 |
|---|---|---|
| 理解产品0/5 已核验 | ||
| 产品文档 | 未在本次官方来源链中找到 | |
| 快速开始 | 未在本次官方来源链中找到 | |
| API 参考 | 官方明确不提供 | No api reference is offered or documented on the site. |
| 请求示例 | 未在本次官方来源链中找到 | |
| 响应示例 | 未在本次官方来源链中找到 | |
| 连接接口1/4 已核验 | ||
| SDK | 官方明确不提供 | No sdk is offered or documented on the site. |
| MCP 接口 | 已核验 | Probe matched on the entry page: /model context protocol|\bmcp\b(?!-)/. |
| Webhooks | 官方明确不提供 | No webhooks is offered or documented on the site. |
| 认证文档 | 未在本次官方来源链中找到 | |
| 执行工作流0/6 已核验 | ||
| 命令行工具 | 部分可用 | Weak signal on the entry page only: /\bcli\b|command[- ]line interface|npm (i/. |
| 非交互式命令 | 不适用于该产品 | No CLI was found to evaluate for this property. |
| 命令行结构化输出 | 不适用于该产品 | No CLI was found to evaluate for this property. |
| 结构化导入与导出 | 未在本次官方来源链中找到 | |
| 成功状态验证 | 未在本次官方来源链中找到 | |
| 智能体工具产物 | 未在本次官方来源链中找到 | |
| 维护与排错0/4 已核验 | ||
| 错误文档 | 未在本次官方来源链中找到 | |
| 速率限制 | 未在本次官方来源链中找到 | |
| 版本信息 | 未在本次官方来源链中找到 | |
| 更新日志 | 未在本次官方来源链中找到 | |
| 发现与验证2/3 已核验 | ||
| llms.txt | 已核验 | llms.txt published at the site root (32 lines). |
| 站点地图 | 已核验 | sitemap.xml reachable and lists site pages. |
| 智能体原生定位 | 未在本次官方来源链中找到 | |
官方证据
审计信息
- 评测时间
- 2026年8月30日
- 评测基准
- agent-readiness-v1
- 读取页面
- 1
- 来源深度
- 1
本审计从一个入口 URL 及其经过验证的官方来源链评估文档所支持的可操作性。AIGCLIST 未注册、登录、购买、执行或测试该产品的运行可靠性。
证据核查
关于该工具的公开声明,每条均标注核验状态与引用来源。
en/mcp已验证5gammaremover.com已验证核验于 2026年7月15日
GammaRemover is an MCP server and agent skill that lets Claude Desktop, Claude Code, and any MCP-compatible client remove the 'Made with Gamma' watermark from exports locally with one install command.
Installation is a single command: claude mcp add gamma-remover -- uvx gamma-watermark-remover-mcp.
An alternative SKILL.md deployment teaches Claude Code and OpenClaw the complete watermark-removal workflow, driving the CLI on demand.
When invoked via an AI agent, the tool selects the appropriate removal method, executes locally, and reports exactly how many watermark objects were removed.
The tool explicitly targets developers and AI agent users as its primary audience.
https://gammaremover.com/en/mcp/en/blog/remove-gamma-watermark-python-cli已验证5gammaremover.com已验证核验于 2026年7月15日
An open-source Python CLI package, gamma-watermark-remover, provides the same structural removal engine that powers the browser tool and is installable via pip.
For PDF files, the engine opens the document with pypdf, locates watermark image objects by position and linked annotation, removes them, and preserves page content, metadata, and structure.
The library is importable for scripts and automation pipelines via from gamma_watermark_remover import remove_watermark.
The CLI supports PPTX files with syntax: gamma-watermark-remover presentation.pptx -o cleaned.pptx.
Keynote .key files are not directly supported; the vendor recommends exporting from Gamma as PPTX, cleaning with the tool, then opening in Keynote.
https://gammaremover.com/en/blog/remove-gamma-watermark-python-cli/zh/mcp已验证2gammaremover.com已验证核验于 2026年7月15日
Developer documentation is available in eight languages: English, Simplified Chinese, Japanese, Korean, Spanish, French, and German.
MCP server configuration requires adding a JSON entry to claude_desktop_config.json with command uvx and args [gamma-watermark-remover-mcp], then restarting Claude Desktop.
https://gammaremover.com/zh/mcp/Gamma Watermark Remover — Free, No Upload · GammaRemover已验证1gammaremover.com已验证核验于 2026年8月30日
The entry page was fetched and analyzed for machine-interface signals (title, headings, developer links, keyword probes).
https://gammaremover.com/en/https://gammaremover.com/llms.txt已验证1gammaremover.com已验证核验于 2026年8月30日
llms.txt is published at the site root and readable.
https://gammaremover.com/llms.txthttps://gammaremover.com/sitemap.xml已验证1gammaremover.com已验证核验于 2026年8月30日
sitemap.xml is reachable and lists site pages.
https://gammaremover.com/sitemap.xmlja/mcp已验证1gammaremover.com已验证核验于 2026年7月15日
Developer documentation is available in eight languages: English, Simplified Chinese, Japanese, Korean, Spanish, French, and German.
https://gammaremover.com/ja/mcp/决策核对台
在依赖该产品或访问官网前,最值得先确认的问题。
GammaRemover is an open-source MCP server, agent skill, and Python CLI that removes the 'Made with Gamma' watermark from PDF and PPTX exports. All processing happens locally on your machine.
Run claude mcp add gamma-remover -- uvx gamma-watermark-remover-mcp in your terminal. You can also manually add the JSON configuration to claude_desktop_config.json and restart Claude Desktop.
Not directly. Keynote uses a proprietary Apple format. The recommended workaround is to export from Gamma as PPTX, clean the file with GammaRemover, then open the result in Keynote.
Yes. The standalone Python CLI (pip install gamma-watermark-remover) works directly from the terminal. You can also import the library into your own Python scripts.
PDF and PPTX are directly supported. The PDF path preserves page content, metadata, and structure by removing only the watermark image objects identified by position and linked annotation.
请在官网核验
继续探索
相近任务的不同路径
这些工具以带有明确编辑理由的替代关系关联到当前产品。
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Related AI productivity tool directory for discovering complementary MCP-compatible utilities.
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Alternative AI agent skill deployment platform that supports custom skill workflows similar to GammaRemover's SKILL.md mode.
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Complementary developer tool for AI agent ecosystems that shares the MCP and local-first architectural approach.
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