YouTube MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect YouTube through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"youtube": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "YouTube Agent",
instructions:
"You help users interact with YouTube " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with YouTube?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About YouTube MCP Server
Connect your YouTube Data API account to any AI agent and harness the power of global video intelligence through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and YouTube tool infrastructure. Connect 4 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Universal Search — Find relevant video content by keyword or exact phrase, retrieving a list of metadata including titles and descriptions
- Deep Video Insights — Retrieve full technical metadata for specific videos, including view counts, like counts, and engagement statistics
- Channel Performance — Monitor any YouTube channel's branding and statistics, including total subscriber counts and video volume
- Sentiment Analysis — Fetch the most relevant comments from any video to analyze user feedback and community engagement
- Content Discovery — Quickly find unique video and channel IDs required for automated media monitoring workflows
- Trend Auditing — Browse and analyze video descriptions and statistics to identify content patterns and audience interests
- Metadata Retrieval — Get high-resolution thumbnails and precise upload timestamps for any piece of video content
The YouTube MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect YouTube to Mastra AI via MCP
Follow these steps to integrate the YouTube MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 4 tools from YouTube via MCP
Why Use Mastra AI with the YouTube MCP Server
Mastra AI provides unique advantages when paired with YouTube through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add YouTube without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every YouTube tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
YouTube + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the YouTube MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query YouTube, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed YouTube as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query YouTube on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using YouTube tools alongside other MCP servers
YouTube MCP Tools for Mastra AI (4)
These 4 tools become available when you connect YouTube to Mastra AI via MCP:
get_channel
Retrieves complete statistics and branding information for a YouTube channel
get_video
Retrieves full metadata, description, and statistics for a specific YouTube video
list_comments
Returns the most recent/relevant comment threads. Fetches the top most relevant comments from a specific YouTube video
search_videos
Returns a list of video metadata including titles and descriptions. Search for YouTube videos by keyword or exact phrase
Example Prompts for YouTube in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with YouTube immediately.
"Search YouTube for 'generative AI tutorials' and show me the top 5 results."
"What are the statistics for video ID 'dQw4w9WgXcQ'?"
"Check the subscriber count for channel ID 'UC_x5XG1OV2P6uYZ5M1D2ogw'."
Troubleshooting YouTube MCP Server with Mastra AI
Common issues when connecting YouTube to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpYouTube + Mastra AI FAQ
Common questions about integrating YouTube MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect YouTube to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.