Descript MCP. Manage Media Assets Without Opening the Editor
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…and any MCP-compatible client
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Descript lets your AI agent manage your entire video and podcast pipeline without you ever touching the desktop app. It gives direct access to project details, full transcripts for repurposing, and export management—all conversational actions.
What your AI agents can do
Create export
Starts the process of rendering a specified Descript project into a new media file.
Create transcription
Takes an audio or video file and generates a raw text transcript from its spoken content.
Get project
Retrieves the full metadata and current status for a specific Descript project ID.
Finds every project and team drive within Descript to scope out exactly what media assets exist.
Pulls metadata for a single project, including its compositions and associated files.
Generates the complete text transcript from any uploaded audio or video file.
Initiates new media renders, checks the status of existing exports, and retrieves download links for final files.
Lists available project templates or provides system-level details about your Descript account structure.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Descript: 8 Tools for Media Workflow
These tools let your agent list projects, create exports, retrieve full transcriptions, and check media assets across your Descript account.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Descript on Vinkius019d7584create export
Starts the process of rendering a specified Descript project into a new media file.
019d7584create transcription
Takes an audio or video file and generates a raw text transcript from its spoken content.
019d7584get project
Retrieves the full metadata and current status for a specific Descript project ID.
019d7584get transcription
Fetches the already generated transcription result, useful for retrieving clean text data.
019d7584list drives
Returns a list of all available team drives and organizational containers in Descript.
019d7584list exports
Retrieves a list of recent or pending export jobs, including their status and file types.
019d7584list projects
Lists all Descript projects accessible to the account, providing names and last modified dates.
019d7584list templates
Shows a list of default or custom project templates available for new content creation.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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Start with Descript, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Descript. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Old Way: Juggling Tabs to Get a Single Transcript
Today, pulling content from video files is a mess. You open Descript, find the project, manually navigate to the transcript panel, copy the text, paste it into a Google Doc, and then maybe you have to check a separate tab just to see if the final export file actually finished rendering. It's slow, error-prone, and involves way too much copy-pasting.
With this MCP, your agent handles the whole thing. You simply ask for the transcript from a project, and it returns clean, structured text immediately. The process stays contained in your chat window, giving you exactly what you need without ever opening the editor or leaving your workflow.
Getting Project Data with `get_project`
Before, if you needed to know the exact composition details of a project—like which media files were used and when they were last edited—you had to click into the project settings, scroll through several tabs, and piece together the metadata yourself. It was tedious detective work.
Now, asking your agent to use `get_project` pulls that entire data packet instantly. You get all the critical details in one clean response, letting you know exactly what's inside a project without opening anything.
What you can do with this MCP connector
You can use this MCP to handle media assets from start to finish, treating Descript like a backend service rather than a graphical editor. Need to pull a transcript for a blog post? Or check if that final 4K video render is done? Your agent handles it conversationally. You ask it to list all projects or retrieve the full text for 'Podcast Ep 47' and get an immediate, structured response.
It can also track exports—checking status, listing files, and triggering new renders.
For teams building multi-platform content strategies, this is huge. Instead of manually logging into Descript to pull transcripts and then jumping to a separate CMS to write show notes, your agent can automate that whole sequence. This ability to chain multiple services together—say, pulling the transcript data from here and feeding it directly into a billing MCP for client invoicing—is what makes Vinkius such a powerful platform.
The entire process runs securely inside an isolated sandbox on Vinkius, so you never worry about where your keys live or how those actions are audited. You just get the result.
019d7584-41dc-73ac-8437-dd5564043c4e 
How Descript MCP Works
- 1 Ask your AI agent to list the primary projects you need help with, so it can scope out the assets.
- 2 Direct the agent to perform a specific action, like getting project metadata or pulling a transcript for a given file.
- 3 The agent returns structured data—be that a download link, a text block of timestamps, or a list of available files.
The bottom line is: you use your AI client to talk to Descript's API through the MCP, and it brings back organized, actionable data for whatever workflow you're running.
Who Is Descript MCP For?
Content leads, podcast producers, and video marketing managers. These are people drowning in media files who spend half their day manually copying text or checking render status across multiple dashboards.
Needs to pull episode transcripts immediately for show notes writing, SEO optimization, and preparing promotional clips.
Wants to get project details or initiate exports without having to open the video editor interface itself, keeping their focus on writing/strategy.
Must quickly access transcripts and media assets from dozens of videos to fuel multi-channel content strategies (blogs, social posts, ads).
What Changes When You Connect
- Need to repurpose a video? Instead of manual copy-pasting, your agent can use
get_transcriptionto pull full text and timestamps for blog posts or social captions. - Don't waste time checking render status. You can ask the agent to check if an export is ready using
list_exports, getting immediate confirmation and download links. - Building a content pipeline? The ability to chain together actions—like first listing projects, then extracting transcripts, and finally creating exports—automates your entire workflow.
- Keep track of everything with
list_drivesandlist_projects. You can scope the search space instantly so you know exactly which asset you're talking about. - Triggering renders is simple. Use
create_exportto kick off a new video or audio version without needing GUI access, letting your agent monitor completion.
Real-World Use Cases
The Show Notes Problem
A podcast producer finishes an episode and has 45 minutes of raw audio. Instead of transcribing it manually and then copying the text into Notion, they ask their agent to use create_transcription on the file, getting structured, clean text ready for immediate show note generation.
The Asset Retrieval Headache
A marketing team needs a specific video asset from 'Q1 Product Demo' but doesn't know which folder it's in. They ask the agent to use list_drives and then narrow down with get_project, finding the exact file metadata instantly.
The Follow-Up Render
A client approves a video draft, but needs it in 1080p MP4 format. The user asks their agent to use create_export with the correct parameters and then checks the status using list_exports, getting a direct download link when ready.
The Multi-Platform Content Flow
A content strategist needs transcripts from three different projects. They ask the agent to use list_projects first, then loop through and call get_transcription for each one sequentially, compiling all raw text into a single document.
The Tradeoffs
Trying to manually browse the UI
The user spends 20 minutes clicking through project folders and tabs just to find a download link or copy text.
→
Just ask your agent. It handles browsing using list_drives and pinpoints assets directly, then uses get_transcription or create_export to pull the exact data you need.
Only asking for a simple list
A user asks 'What projects do I have?' but doesn't specify if they want transcripts or export status.
→
Be specific. If you need text, ask the agent to use get_transcription. If you need file links, tell it to check using list_exports.
Assuming data is ready
A user assumes a render job is done and tries to download it immediately without checking.
→
Always confirm status first. Ask the agent to use list_exports or check the project with get_project to ensure the export process has completed successfully.
When It Fits, When It Doesn't
Use this MCP if your workflow revolves around managing, extracting, and distributing media assets—think podcasts, video marketing, or content repurposing. You need structured data like transcripts or specific render files, not just a visual overview. Don't use it if you only want to make minor edits in the timeline; for that, you still need the full Descript desktop app. If your goal is simply 'write more', but the input material is video, then this MCP gets you 90% of the way there by handling the data flow and asset management.
Common Questions About Descript MCP
How do I use `list_projects` with Descript MCP? +
You just ask your agent to 'List all my projects.' It scans the entire account and returns names, giving you a quick overview of everything available in your drive.
Can I use `create_transcription` on different file types? +
Yes. The tool supports both audio files and video files. You just need to provide the media asset, and the agent handles the process of transcribing it into text.
How does `list_exports` help me with my videos? +
list_exports lets you see a history of your renders. It tells you if an export is pending or complete, and provides the necessary link to download the finished media.
What's the difference between `get_project` and `get_transcription`? +
get_project gives you metadata about the container (the project itself). get_transcription only pulls out the finished text from a specific media file within that project.
Can I initiate an export using `create_export`? +
Yes, that's exactly what it does. You tell your agent which project to use and what format you want, and the tool kicks off the rendering process for you.
Do I need to use `list_drives` first before running other commands? +
Yes, listing drives sets your context for Descript. It tells your agent which team drive containers you have access to. This scope is necessary so the system knows where to look when you ask it to run tools like get_project.
How does `list_templates` help me with my content planning? +
It shows all available Descript project templates built into your account. This means your agent can pull up pre-set starting points for new projects, which speeds up setup time if you're building similar videos.
What happens if I use `get_project` and it fails? +
The system will return a detailed error message. This tells you exactly why the request failed—for instance, if the project ID is incorrect or if your connection lacks the required permissions to view that specific file.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.