YouTube transcripts in Visual Studio Code via MCP
John
Connect Visual Studio Code to a hosted MCP server and call transcripts as a tool. Returns non_timestamped, timestamped, title, channel_name per URL.
Input
Output fields
Sign up on Apify or log in
The YouTube Transcript & Subtitles Scraper API Actor is ready to run with the inputs already set for "YouTube transcripts in Visual Studio Code via MCP". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube transcripts in Visual Studio Code via MCP" task
The YouTube Transcript & Subtitles Scraper API Actor will start running based on the input automatically. You can also change all the input fields, like youtube url(s), to match your specific use case.
Receive the "YouTube transcripts in Visual Studio Code via MCP" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as thumbnail, title, channel, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "YouTube transcripts in Visual Studio Code via MCP" task via API.

Integrate "YouTube transcripts in Visual Studio Code via MCP" into your workflow
Connect "YouTube transcripts in Visual Studio Code via MCP" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay