How do I get my Descript API token?

Log in to your Descript account at **descript.com**. Navigate to **Settings** (click your profile icon). In the left sidebar, select **API tokens**. Click the **Create token** button, give it a descriptive name, and select the specific **Drive** you want it associated with. Copy the token immediately — it will **not** be shown again after you close the window. Paste it into the configuration field below.

Can I convert a podcast transcript into a blog post automatically?

Yes. Ask your AI agent to pull the full transcript from a Descript project, then instruct it to reformat the content into a structured blog post. It retrieves speaker labels, timestamps, and the complete text — perfect for creating show notes, summaries, or full articles from your recordings.

What if I work across multiple Descript drives?

Each API token is tied to a specific Drive. If you work across multiple drives (e.g., separate drives for different shows or clients), generate a separate token for each drive and configure multiple integrations. Your AI agent can then query projects from any of your drives.

Is this useful for agencies producing video content for clients?

Absolutely. Agencies can use the AI agent to pull transcripts across client projects, track export statuses, and retrieve download links — all from a single conversational interface. No need to log in and out of different client workspaces or manually download files from the Descript dashboard.

Descript MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Descript
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Descript through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Descript Assistant",
            instructions=(
                "You help users interact with Descript. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Descript"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Descript MCP Server

Connect Descript to your AI agent and manage your video and podcast production pipeline conversationally.

The OpenAI Agents SDK auto-discovers all 8 tools from Descript through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Descript, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Project Management — List, search, and retrieve project details including compositions, transcripts, and media files.
Transcript Access — Pull full transcriptions from any Descript project for repurposing into blog posts, social content, or subtitles.
Media Exports — Retrieve exported audio and video files, download links, and export statuses.
Drive Organization — Navigate your Descript drives and projects to find specific recordings or compositions.

The Descript MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Descript to OpenAI Agents SDK via MCP

Follow these steps to integrate the Descript MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Descript

Why Use OpenAI Agents SDK with the Descript MCP Server

OpenAI Agents SDK provides unique advantages when paired with Descript through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Descript + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Descript MCP Server delivers measurable value.

Automated workflows: build agents that query Descript, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Descript, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Descript tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Descript to resolve tickets, look up records, and update statuses without human intervention

Descript MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Descript to OpenAI Agents SDK via MCP:

create_export

Export a project

create_transcription

Supports audio and video files. Transcribe a media file

get_project

Get project details

get_transcription

Get transcription result

list_drives

List team drives

list_exports

List project exports

list_projects

List all Descript projects

list_templates

List available templates

Example Prompts for Descript in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Descript immediately.

"List all my Descript projects."

"Get the full transcript of 'Podcast Ep 47'."

"Check if my latest video export is ready for download."

Troubleshooting Descript MCP Server with OpenAI Agents SDK

Common issues when connecting Descript to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Descript + OpenAI Agents SDK FAQ

Common questions about integrating Descript MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.