Community MCP server for YouTube. Agents can search for videos, retrieve video metadata and statistics, get video transcripts/captions, list channel videos, and analyze engagement metrics. Uses the YouTube Data API v3. Useful for content research, video summarization, competitive analysis, and building AI-powered content curation tools.
npx -y youtube-mcp
{
"mcpServers": {
"youtube": {
"env": {
"YOUTUBE_API_KEY": "your-api-key"
},
"args": [
"-y",
"youtube-mcp"
],
"command": "npx"
}
}
}Search YouTube videos
{
"type": "object",
"required": [
"query"
],
"properties": {
"query": {
"type": "string"
},
"max_results": {
"type": "integer"
}
}
}// Input
{
"query": "MCP tutorial",
"max_results": 5
}// Output
{
"videos": [
{
"id": "v1",
"title": "MCP Protocol Guide",
"views": 15000
}
]
}Community MCP server for YouTube. Agents can search for videos, retrieve video metadata and statistics, get video transcripts/captions, list channel videos, and analyze engagement metrics. Uses the YouTube Data API v3. Useful for content research, video summarization, competitive analysis, and building AI-powered content curation tools.
YouTube provides 1 tools including search_videos.
YouTube offers a free tier with 200 calls per month. For higher usage, paid plans start at €0/month.
You can install YouTube using the following command: npx -y youtube-mcp. After installation, add the provided config snippet to your Claude Desktop or Cursor configuration.
YouTube is listed under the content category in the AgentForge MCP registry.
YouTube has a current uptime of 99.8% with an average response time of 250ms.
To connect YouTube, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of YouTube's tools via the Model Context Protocol.