Descript Complete

Descript Complete

Provides full Descript integration for transcription, AI-powered editing, voice synthesis, and export. Automates audio/video processing including filler word removal, silence trimming, and project collaboration through natural language commands.

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README

Descript Complete MCP Server

Stop manually transcribing audio. Upload recordings, get transcripts, remove filler words, and export edited content — all from your AI assistant.

What It Does

This MCP server gives your AI assistant full control over Descript: transcription, editing, AI voice (Overdub), collaboration, and export — all via natural language.

Tools

Tool Category Description
transcribe_audio Transcription Submit an audio URL for transcription
transcribe_video Transcription Submit a video URL for transcription
get_transcript Transcription Fetch transcript by share slug (text, JSON, or VTT)
list_transcripts Transcription List recent transcription jobs
create_project Projects Create a new Descript project
list_projects Projects List all projects in your account
get_project Projects Get details for a specific project
delete_project Projects Delete a project permanently
upload_media Media Upload media to a project via URL
get_upload_status Media Check upload/processing job status
remove_filler_words Editing Remove um, uh, like, etc. with AI
remove_silence Editing Remove silent gaps automatically
trim_transcript Editing Edit content via natural language instruction
export_transcript_txt Export Export transcript as plain text
export_transcript_srt Export Export transcript as SRT subtitles
export_video Export Render/export the video
create_overdub Overdub Generate speech with AI voice
list_overdub_voices Overdub List available AI voices
get_project_members Collaboration Get project collaborators
share_project Collaboration Invite a collaborator by email

Quick Start

  1. Get your Descript API key from your Descript account settings
  2. Set DESCRIPT_API_KEY=your_key_here in your environment
  3. Start the server: npm start
  4. Connect your MCP client to http://localhost:8080/mcp

Example Workflows

Transcribe a podcast episode:

transcribe_audio({ url: "https://example.com/episode-42.mp3", project_name: "Episode 42" })
// Returns job_id — poll with get_upload_status until state = "stopped"
// Then get_transcript({ slug: "your-share-slug", format: "text" })

Clean up an interview recording:

remove_filler_words({ project_id: "abc123" })
remove_silence({ project_id: "abc123", threshold_seconds: 0.8 })
export_transcript_txt({ slug: "your-share-slug", include_speakers: true })

Share for review:

share_project({ project_id: "abc123", email: "editor@example.com", role: "editor" })

Environment Variables

Variable Required Description
DESCRIPT_API_KEY Yes Your Descript API key
PORT No Server port (default: 8080)

Health Check

GET http://localhost:8080/health
# {"status":"ok","server":"descript-complete","version":"1.0.0"}

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