Build Your Own YouTube MCP Server for Transcripts
Creates a YouTube MCP server to search videos and download transcripts via Apify, feeding content to AI agents for analysis and insights.
This n8n workflow builds a simple MCP (Model Context Protocol) server for YouTube, enabling searches for videos based on queries and extraction of transcripts for research. It uses an MCP server trigger connected to three custom tools: YouTube Search (fetches 10 results), YouTube Transcripts (downloads subtitles from URLs), and Usage Reports (tracks Apify spending and limits). Powered by Apify's scraping service, it offers a simple interface without rate limits.
Ideal for AI agents needing up-t
- Platform
- n8n
- Category
- Development & IT
- Price
- $14.99
- Creator
- BestWorkflows
- YouTube
- MCP
- Apify
- Transcripts
- Video Search
- Data Extraction
- AI Agents
- Scraping
- Research
- Automation
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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