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Build your own YouTube MCP server with n8n

Research and content teams that want an AI assistant to search YouTube and read the transcripts of videos on a topic.

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Paste it straight onto an n8n canvas with Ctrl+V or Cmd+V.

Third party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.

build-your-own-youtube-mcp-server.json

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What it does

An n8n template that builds a small MCP server for searching YouTube and downloading video transcripts for research. An MCP server trigger connects three custom workflow tools: YouTube search, transcript download and Apify usage reports. The search and transcript tools use the Apify scraping service, so an Apify account is required.

Use cases

  1. 01Search YouTube for recent videos on a topic
  2. 02Pull transcripts of several videos to summarize them
  3. 03Check Apify usage and limits in one place

Connects

HTTP Request · Call n8n Workflow Tool

Questions about
Build your own YouTube MCP server with n8n.

What is Build your own YouTube MCP server with n8n used for?

Research and content teams that want an AI assistant to search YouTube and read the transcripts of videos on a topic. An n8n template that builds a small MCP server for searching YouTube and downloading video transcripts for research. An MCP server trigger connects three custom workflow tools: YouTube search, transcript download and Apify usage reports. The search and transcript tools use the Apify scraping service, so an Apify account is required.

How do I import Build your own YouTube MCP server with n8n into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is Build your own YouTube MCP server with n8n safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.

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