mcp-youtube and ytt-mcp
About mcp-youtube
adhikasp/mcp-youtube
Model Context Protocol to fetch youtube transcript
Extracts timestamped transcripts from YouTube videos via video ID or full URL, making them accessible to LLM applications through the Model Context Protocol. Implements MCP as a standard server that integrates with any MCP-compatible client through a simple configuration interface. Built with Python and deployable via `uvx` for seamless integration into existing LLM tool ecosystems.
About ytt-mcp
cottongeeks/ytt-mcp
MCP server to fetch YouTube transcripts
Implements the Model Context Protocol (MCP) standard to integrate YouTube transcript fetching into Claude Desktop, Raycast, and other MCP-compatible clients. Built with fastmcp framework and distributed via uv for streamlined installation, it exposes a simple tool interface that enables AI assistants to retrieve and process video transcripts programmatically. Supports direct integration into AI workflows—for example, generating summaries or thematic breakdowns through natural language prompts.
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