Control Adobe Premiere Pro through natural language via MCP server. Use when editing video timelines, applying color grading, mixing audio, adding effects/transitions, managing graphics, or exporting projects. Supports 907 tools across all Premiere Pro capabilities.
npx @senso-ai/shipables install ayushozha/adobe-premiere-pro-mcpThe open-source MCP server for Adobe Premiere Pro. Control every aspect of video editing — timeline, color grading, audio mixing, effects, graphics, and export — through natural language.
Use this skill when:
The server uses a multi-language architecture:
AI Assistant (Claude/etc)
↓ MCP Protocol
Go Orchestrator (receives MCP calls, distributes tasks)
↓
├── Rust Engine (media scanning, asset indexing, codec/duration/resolution/waveform analysis)
├── Python Intelligence (script parsing, EDL generation, footage-to-scene matching)
└── TypeScript Bridge (executes commands in Premiere Pro via ExtendScript/CEP)
Add to your MCP configuration:
{
"mcpServers": {
"premiere-pro": {
"command": "./go-orchestrator/bin/server",
"args": ["--transport", "stdio"]
}
}
}
git clone https://github.com/ayushozha/AdobePremiereProMCP.git
cd AdobePremiereProMCP
just install
just build
"Edit my interview video using this script. The footage is in /media/interview/.
Add lower thirds for speakers, color grade to match our brand,
normalize audio to -16 LUFS, and export as H.264 1080p."
The agent will: scan media → parse script → assemble timeline → add graphics → color grade → mix audio → export.
"Apply a warm film look to all clips on V1.
Lift shadows slightly, add orange to midtones,
and reduce highlight saturation by 15%."
"Normalize all dialogue clips to -16 LUFS,
add a high-pass filter at 80Hz,
and apply light compression (2:1 ratio, -18dB threshold)."