YouTube Knowledge Base
Enables semantic search across thousands of indexed educational YouTube videos covering topics like engineering, marketing, and strategy. It allows users to query insights from top creators directly through Claude Code using the Model Context Protoco
What is YouTube Knowledge Base?
YouTube Knowledge Base is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search across thousands of indexed educational youtube videos covering topics like engineering, marketing, and strategy. it allows users to query insights from top creators directly t...
Enables semantic search across thousands of indexed educational YouTube videos covering topics like engineering, marketing, and strategy. It allows users to query insights from top creators directly through Claude Code using the Model Context Protoco
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables semantic search across thousands of indexed educatio
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx youtube-knowledge-baseConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about YouTube Knowledge Base
What is YouTube Knowledge Base?
YouTube Knowledge Base is a Model Context Protocol (MCP) server that enables semantic search across thousands of indexed educational youtube videos covering topics like engineering, marketing, and strategy. it allows users to query insights from top creators directly through claude code using the model context protoco It connects AI assistants to external tools and data sources through a standardized interface.
How do I install YouTube Knowledge Base?
Follow the installation instructions on the YouTube Knowledge Base GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with YouTube Knowledge Base?
YouTube Knowledge Base works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is YouTube Knowledge Base free to use?
Yes, YouTube Knowledge Base is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
YouTube Knowledge Base Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to YouTube Knowledge Base? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up YouTube Knowledge Base in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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