TubExperto MCP Server

Connect your AI to YouTube experts

What is this?

The TubExperto MCP Server allows AI assistants (Claude Code, ChatGPT, Cursor, etc.) to query YouTube experts created on TubExperto.

How it works:

Your AI (Claude Code, etc.)
    ↓
MCP Server (this package)
    ↓
TubExperto API
    ↓
YouTube Expert (trained on entire channel)
    ↓
Personalized answer based on YOUR project context

Features

• 🔌 Universal: Works with any tool supporting MCP (Model Context Protocol)
• 🎯 Contextual: Experts understand YOUR specific project
• 🧠 Specialized: Trained on entire YouTube channels
• ⚡ Fast: Responses in seconds using Gemini AI

Quick Start

1. Install

npm install -g @tubexperto/mcp-server

Or for local development:

git clone https://github.com/tubexperto/mcp-server
cd mcp-server
npm install
npm run build

2. Get API Key

1. Create account at tubexperto.com
2. Create at least one expert from a YouTube channel
3. Get your API key from tubexperto.com/settings/api

3. Configure

Add to your AI tool's MCP configuration (e.g., Claude Code):

{
  "mcpServers": {
    "tubexperto": {
      "command": "node",
      "args": ["/path/to/mcp-server/dist/index.js"],
      "env": {
        "TUBEXPERTO_API_KEY": "texp_your_api_key_here",
        "TUBEXPERTO_API_URL": "https://tubexperto.com"
      }
    }
  }
}

4. Use

# In Claude Code:
"Query my marketing expert about how to promote my SaaS"

# The expert receives context about your project and provides personalized advice

Available Tools

list_experts

Search for experts by topic.

Input:

• query (string): Search query (e.g., "marketing", "React")
• limit (number, optional): Max results (default: 10)

Example:

"Find experts about Next.js"

query_expert

Ask a question to a specific expert.

Input:

• expertId (string): Expert ID or slug
• question (string): Your question
• context (string, optional): Additional project context

Example:

"Ask my marketing expert: How should I launch on Product Hunt?"

get_expert_info

Get detailed information about an expert.

Input:

• expertId (string): Expert ID or slug

Example:

"Show me info about my Next.js expert"

Pricing

| Plan | Price | Queries/Day | Features | |------|-------|-------------|----------| | Free | $0 | 10 | Basic access | | Pro | $19/mo | 1,000 | Private experts, priority | | Business | $49/mo | 5,000 | Teams, API, webhooks | | Enterprise | Custom | Unlimited | On-premise, SLA 99.99% |

See full pricing

Documentation

• Full Setup Guide
• API Reference
• Examples

Supported AI Tools

• ✅ Claude Code (Desktop & CLI)
• ✅ Cursor
• 🔜 ChatGPT Desktop (when MCP support is added)
• ✅ Any tool supporting MCP protocol

Development

Build

npm run build

Watch mode

npm run dev

Test locally

# Set environment variables
export TUBEXPERTO_API_KEY="texp_your_key"
export TUBEXPERTO_API_URL="http://localhost:3001"

# Run the server
node dist/index.js

Contributing

Contributions are welcome! Please read CONTRIBUTING.md first.

Support

• Email: [email protected]
• GitHub Issues: Report a bug
• Discord: Join our community

License

MIT © TubExperto

Made with ❤️ by the TubExperto team