after-effects-mcp: MCP Server for Adobe After Effects

by Dakkshin · MCP Server · ★ 640

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How to install after-effects-mcp

git clone https://github.com/Dakkshin/after-effects-mcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

after-effectsaiautomationjavascriptmcpmodel-context-protocolmotion-graphicsnodejsremote-controltypescript

Quick Facts

Stars640
Forks125
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues22
Last Updated2026-04-01
Created2025-04-12
Platformsmcp, node
Est. Tokens~6k

About after-effects-mcp

🎬 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...

Compatible Skills

These tools work well together with after-effects-mcp for enhanced workflows:

  • adobe-agent-skills — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • Sora-FullStack — semantic(0.16)+complementary+rare_topics+similar_pop+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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