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 LangChain 8 tools — connect in under 2 minutes

Name: Descript
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Descript through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "descript": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Descript, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with Descript through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Descript MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Descript via MCP

Why Use LangChain with the Descript MCP Server

LangChain provides unique advantages when paired with Descript through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Descript MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Descript queries for multi-turn workflows

Descript + LangChain Use Cases

Practical scenarios where LangChain combined with the Descript MCP Server delivers measurable value.

RAG with live data: combine Descript tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Descript, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Descript tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Descript tool call, measure latency, and optimize your agent's performance

Descript MCP Tools for LangChain (8)

These 8 tools become available when you connect Descript to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Descript to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Descript + LangChain FAQ

Common questions about integrating Descript MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.