Renderio ACTION
Download Video with yt-dlp
Download publicly accessible videos from yt-dlp-supported platforms like YouTube, TikTok, Instagram, Vimeo, and Twitch without additional processing. Provide input URLs as a dictionary with
in_ prefixed keys, for example { "in_video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }. For download plus FFmpeg processing, use Download and Process Video with yt-dlp instead. See the documentation- Action
- Writes data
- API key
- SDK
- MCP
IMPLEMENTATION
Call this tool
Connect a user's Renderio account once, then configure and run Download Video with yt-dlp from your backend or agent.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const result = await pd.actions.run({
id: "renderio-download-video-with-ytdlp",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
renderio: { authProvisionId: "apn_xxxxxxx" },
inputUrls: "Input Video URLs",
metadata: "Metadata",
},
})
console.log(result)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "renderio-download-video-with-ytdlp",
"configured_props": {
"renderio": { "authProvisionId": "apn_xxxxxxx" },
"inputUrls": "Input Video URLs",
"metadata": "Metadata"
}
}'// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "renderio",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
name: "renderio-download-video-with-ytdlp",
arguments: {
inputUrls: "Input Video URLs",
metadata: "Metadata",
},
})SCHEMA
Inputs
Pipedream supplies the connected account. Your application provides the operation-specific values below. Dynamic inputs are resolved against that user's account.
| Property | Type | Description |
|---|---|---|
inputUrls Input Video URLs | object | Dictionary mapping input aliases to publicly accessible video URLs supported by yt-dlp. Keys must start with in_. Example: { "in_video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }. Required |
metadata Metadata | object | Optional key-value metadata to attach to the command or preset execution. Example: { "job_id": "abc123" }. Optional |
REFERENCE
Tool details
Behavior hints are published with the component in the Pipedream registry and surface as MCP tool annotations, so an agent can reason about a tool before it calls it.
- Registry key
- renderio-download-video-with-ytdlp
- Version
- 0.0.2
- App
- Renderio
- Authentication
- API key
- Read-only
- No
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗