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 Dakkshin · MCP Server · ★ 640
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is after-effects-mcp safe to install? View the security audit →
🎬 After Effects MCP Server ✨ A Model Context Protocol (MCP) server for Adobe After Effects that enables AI assistants and other applications to control After Effects through a standardized protocol. Table of Contents Features Core Composition Features Layer Management Animation Capabilities Setup Instructions Prerequisites Installation Update MCP Config Running the Server Usage Guide Creating Compositions Working with Layers Animation Available MCP Tools For Developers Project Structure Building the Project Contributing License 📦
| Stars | 640 |
| Forks | 125 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6017282307817/100 |
| Open Issues | 22 |
| Last Updated | 2026-04-01 |
| Created | 2025-04-12 |
| Platforms | mcp, node |
| Est. Tokens | ~6k |
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after-effects-mcp is MCP Server for Adobe After Effects. Enables remote control (compositions, text, shapes, solids, properties) via the Model Context Protocol using ExtendScript.. It is categorized as a MCP Server with 640 GitHub stars.
after-effects-mcp is primarily written in JavaScript. It covers topics such as after-effects, ai, automation.
You can find installation instructions and usage details in the after-effects-mcp GitHub repository at github.com/Dakkshin/after-effects-mcp. The project has 640 stars and 125 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 easy-mcp, mcp-agent-langchainjs, claude-historian-mcp. 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: