Merge pull request #951 from format37/add-youtube-mcp-server

Add youtube_mcp server to the list

README.md

@@ -767,6 +767,7 @@ Provides the ability to handle multimedia, such as audio and video editing, play
 ### 🔎 <a name="search"></a>Search & Data Extraction
 
 - [OctagonAI/octagon-deep-research-mcp](https://github.com/OctagonAI/octagon-deep-research-mcp) 🎖️ 📇 ☁️ 🏠 - Lightning-Fast, High-Accuracy Deep Research Agent
+- [format37/youtube_mcp](https://github.com/format37/youtube_mcp) 🐍 ☁️ – MCP server that transcribes YouTube videos to text. Uses yt-dlp to download audio and OpenAI's Whisper-1 for more precise transcription than youtube captions. Provide a YouTube URL and get back the full transcript splitted by chunks for long videos.
 - [Xyber-Labs/mcp-server-youtube](https://github.com/Xyber-Labs/mcp-servers/tree/main/mcp-server-youtube) 🐍 ☁️ - This repository implements an MCP (Model Context Protocol) server for YouTube search and transcript retrieval functionality. It allows language models or other agents to easily query YouTube content through a standardized protocol.
 - [Xyber-Labs/arxiv-mcp-server](https://github.com/Xyber-Labs/mcp-servers/tree/main/mcp-server-arxiv) 🐍 ☁️ - This service provides an MCP-compliant server interface with a tool to search and retrieve papers from the [Arxiv](https://arxiv.org/) preprint repository. It is designed for use in multi-tool agent systems, but can also be run standalone.
 - [Xyber-Labs/mcp-server-tavily](https://github.com/Xyber-Labs/mcp-servers/tree/main/mcp-server-tavily) 🐍 ☁️ - This project implements a microservice that exposes Tavily web search functionality through the Model Context Protocol (MCP). It uses the langchain-tavily library to interact with the Tavily Search API.