No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JUNKDOGE-JOE · MCP Server · ★ 72
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is after-effects-mcp safe to install? View the security audit →
ae-mcp 中文 ae-mcp 是一个面向 Adobe After Effects 的 MCP 自动化项目。它让 Codex、Cursor、Claude Code 等 MCP 客户端可以通过 Python MCP server 和本地 CEP 面板驱动 AE。 当前状态 simple RPC 插件链路已经实现：CEP 面板、HTTP bridge backend、30 个 verbs、实时 AE live tests、开发安装脚本和 ZXP 打包脚本。 当前验证结果： : 203 passed, 24 live tests deselected : 24 passed, 需要 AE 打开并且 ae-mcp 面板绿灯 v0.2.0 在保持向后兼容的前提下增强了多个 verb： 分页 + 紧凑文本、 运行时 helper、 类型化 controls、非阻塞 checkpoint。详见 CHANGELOG.md 与 docs/REFERENCE.md。 平台现状： Windows 是当前唯一做过 CI 和 live 验证的平台。 macOS 已补安装脚本和文档路径，但还没有完成实机验证。 如果你在 macOS 上跑通或遇到问题，请在 GitHub issues 反馈环境和日志。 这已经达到一个可用的 AE 操作 MVP：agent 可以检查、修改、预览、checkpoint/revert、使用 skill，并创建基础 rig。 明确不在范围内，图像生成交给 agent/model 侧，ae-mcp 负责导入和操作 AE。 Verb Surface , ae.skillCrea
| Stars | 72 |
| Forks | 5 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.3760677936236/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-23 |
| Created | 2026-04-21 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~15k |
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after-effects-mcp is Agent-driven Adobe After Effects automation. MCP server + CEP plugin enabling Codex/Cursor/Claude Code to drive AE through 30 ae.* tools.. It is categorized as a MCP Server with 72 GitHub stars.
after-effects-mcp is primarily written in JavaScript. It covers topics such as adobe-after-effects, agent, cep.
You can find installation instructions and usage details in the after-effects-mcp GitHub repository at github.com/JUNKDOGE-JOE/after-effects-mcp. The project has 72 stars and 5 forks, indicating an active community.
after-effects-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to after-effects-mcp on Agent Skills Hub include premiere-pro-mcp, AdobePremiereProMCP, ClaudeR. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: