Renderio ACTION
Download and Process Video with yt-dlp
Download publicly accessible videos with yt-dlp and optionally process them with FFmpeg. Use this to fetch videos from supported platforms and transform them, for example extract audio, resize, trim, or convert formats. Provide input URLs as a dictionary with
in_ prefixed keys; when processing with FFmpeg, provide output aliases with out_ prefixes. 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 and Process 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-and-process-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",
ffmpegCommand: "FFmpeg Command",
},
})
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-and-process-video-with-ytdlp",
"configured_props": {
"renderio": { "authProvisionId": "apn_xxxxxxx" },
"inputUrls": "Input Video URLs",
"ffmpegCommand": "FFmpeg Command"
}
}'// 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-and-process-video-with-ytdlp",
arguments: {
inputUrls: "Input Video URLs",
ffmpegCommand: "FFmpeg Command",
},
})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 |
ffmpegCommand FFmpeg Command | string | Optional FFmpeg command to run after downloading. Use {{alias}} placeholders matching input URL keys and output file keys. Example: -i {{in_video}} -vn -acodec libmp3lame -ab 192k {{out_audio}}. Optional |
outputFiles Output File Names | object | Dictionary mapping output aliases to desired output file names. Required when FFmpeg Command is set. Keys must start with out_. Example: { "out_audio": "audio.mp3" }. Optional |
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-and-process-video-with-ytdlp
- Version
- 0.0.2
- App
- Renderio
- Authentication
- API key
- Read-only
- No
- Destructive
- No
- Open world
- Yes
- Source
- View on GitHub ↗