Descript MCP

Live

OAUTH 2.0

MEDIA

Media

Connect to Descript MCP. Import media, export transcripts, publish projects, run AI editing agents, and manage jobs from your AI workflows.

  • Acts as the user: Every tool call runs as the authorizing user. Access and audit trail stay intact.
  • Credentials stay vaulted: AES-256 encrypted, resolved at request time, never stored in LLM context.
  • Scoped before every call: Per-user permissions enforced automatically. 90-day audit trail included.
Descript MCP
agent · Acme Q3
Run
Cancel Job in Descript MCP
S
descriptmcp_cancel_job
85ms
Descript MCP agent
Cancel a queued or running descript job by its id..
Sources: Descript MCP
descriptmcpmcp
1 tool call
18:29
Message Claude...

Descript MCP tools for AI agents

CALL ANY TOOL
9 tools covering get, export, cancel.
descriptmcp_cancel_job
Cancel a queued or running descript job by its id.
Cancel a queued or running descript job by its id.
Parameters
Name
Type
Required
Description
job_id
string
Required
UUID of the job to cancel.
descriptmcp_export_transcript
Export a project composition as a transcript document in txt
descriptmcp_get_project
Retrieve detailed information about a descript project, incl
descriptmcp_import_media
Import media into a descript project from urls (google drive
descriptmcp_list_jobs
List recent descript jobs with optional filtering by project
descriptmcp_list_projects
List descript projects accessible to the authenticated user,
descriptmcp_prompt_project_agent
Use descript's ai agent to query, create, or edit a project
descriptmcp_publish_project
Publish a descript project composition as video or audio and
descriptmcp_wait_for_job
Poll a descript job until it completes, streaming progress u
Build your Agent
Same auth pattern across every framework.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="descriptmcp")

mcp = MultiServerMCPClient({
"descriptmcp": {
"url": "https://mcp.scalekit.com/descriptmcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "descriptmcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/descriptmcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "descriptmcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/descriptmcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="descriptmcp")
# Connect to MCP at https://mcp.scalekit.com/descriptmcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
Poll a Descript job until it completes, streaming progress updates, with an optional timeout?
Copy the prompt
Copied
Publish a Descript project composition as video or audio and return a shareable URL?
Advanced
Copy the prompt
Copied
Use Descript’s AI agent to query, create, or edit a project using a natural language prompt?
Copy the prompt
Copied
List Descript projects accessible to the authenticated user, with optional filtering and sorting?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Descript MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Descript MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Descript MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Descript MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other connectors.
No items found.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought.
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access Descript as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Descript OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Descript?
Yes. Pass a tool name filter to listScopedTools so the media agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Descript.

What happens when a user revokes Descript access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Which Descript projects can the agent export or publish?
Only projects the authorizing user can access. Media imports, transcript exports, and publishes follow Descript drive membership, keeping client media isolated.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""descriptmcp"": {
""url"": ""https://mcp.scalekit.com/descriptmcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.descriptmcp]
url = ""https://mcp.scalekit.com/descriptmcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""descriptmcp"": {
""url"": ""https://mcp.scalekit.com/descriptmcp"",
""type"": ""http""
}
}
}