palmier-pro: macOS video editor built for AI

by palmier-io · MCP Server · ★ 13.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install palmier-pro

claude mcp add --transport http palmier-pro http://127.0.0.1:19789/mcp
codex mcp add palmier-pro --url http://127.0.0.1:19789/mcp

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

Security audit verdict: SAFE · quality 68/100

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.

ai-videoclaude-codegenerative-aimacosmcpseedance-2swiftvideo-editor

Quick Facts

Stars13,715
Forks1,030
LanguageSwift
CategoryMCP Server
LicenseGPL-3.0
Quality Score68/100
Open Issues94
Last Updated2026-08-19
Created2026-04-07
Platformsclaude-code, mcp
Est. Tokens~16k

About palmier-pro

Palmier Pro The video editor built for AI. Requires macOS 26 (Tahoe) Features A full professional editor We built Palmier Pro from scratch. The north star is Premiere Pro, with our take on integrating AI into the workflow.

Compatible Skills

These tools work well together with palmier-pro for enhanced workflows:

  • ComfyUI-Expert — semantic(0.39)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • narrator-ai-cli-skill — semantic(0.37)+complementary+rare_topics+similar_pop+shared_platform (57%)

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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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