Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

Download YouTube subtitles via yt - dlp and connect to Claude.ai through the MCP protocol for video content analysis

A service to obtain YouTube video subtitles through the MCP protocol

The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

An MCP server for fetching web page content and YouTube video subtitles

A YouTube video analysis service based on the MCP protocol, providing functions for subtitle extraction, video search, and channel information acquisition.

A serverless YouTube subtitle extraction service based on Cloudflare Workers, using the MCP protocol to achieve high - performance AI assistant integration

An MCP server for controlling YouTube music playback

An MCP server based on the YouTube Data API v3 that provides 14 functions to obtain real-time data on YouTube videos, channels, playlists, etc., supporting advanced functions such as content evaluation and caption extraction, suitable for AI assistant integration.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

An audio transcription MCP service based on MLX Whisper, supporting transcription of local files, Base64 audio, and YouTube videos, optimized for Apple M-series chips.

The YouTube MCP Server is a service that implements the Model Context Protocol (MCP). It provides a standardized interface for AI language models to interact with YouTube content, supporting functions such as video information retrieval, subtitle management, channel and playlist operations, etc.

Tutorial on setting 4K YouTube videos

YouTube video analysis MCP service, providing transcription extraction, content summarization, and AI query functions

An MCP server that provides access to custom YouTube playlists and can obtain the URLs of videos added within a specified time range.

An MCP server designed for Claude Desktop Edition, capable of scraping web page text, YouTube video subtitles, and PDF file content via links.

The YouTube MCP Server is a service that interacts with YouTube data through a standard interface, providing query and analysis functions for videos, channels, comments, and subtitles.

Deep Research is an agent - based tool that provides web search and advanced research functions, supports PDF analysis, image description, and YouTube transcription extraction, and can run as an MCP server.

This project provides the function of downloading subtitles from platforms such as YouTube and Bilibili, supports multiple languages, and integrates with the AITransDub MCP service.

An experimental MCP server that can provide the transcribed text of YouTube playlists as a service

Set up the MCP Replicate FLUX service for 4K YouTube videos

A server that downloads YouTube subtitles via yt-dlp and processes them by connecting to Claude.ai through the MCP protocol

The YouTube MCP Server is a tool for obtaining and extracting subtitles from YouTube videos, enabling AI language models to access and process video content.

A YouTube API bridging server based on the MCP protocol, used for AI assistants to obtain video captions and generate summaries

An MCP server project for downloading video subtitles from YouTube and connecting them to LLM. Supports video ID and full URL, provides subtitles with timestamps, and is compatible with any MCP client.

An audio analysis tool based on MCP and librosa, supporting the analysis of local files, YouTube links, and audio links.

The YouTube data MCP server enables interaction between AI language models and YouTube content through a standardized interface

The AIO-MCP Server is a powerful model context protocol server that integrates multiple services such as GitLab, Jira, Confluence, and YouTube, providing AI-driven search capabilities and development workflow tools.

YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.

The DeepSRT MCP Server is a protocol service that provides YouTube video summarization functionality through integration with the DeepSRT API, supporting multiple languages and summary modes.

An MCP service for YouTube video analysis based on the Google Gemini Vision API, providing functions such as video description, summarization, Q&A, and key segment extraction.

An MCP service tool that connects YouTube and Google Sheets, supporting video search and automatically saving the results to the spreadsheet

A set of Python tool servers implementing the MCP protocol, providing function extensions such as YouTube data processing, Word document processing, and chart rendering for AI assistants.

An MCP server integrating the Agent.ai API, providing functions for web page text extraction, web page screenshot capture, and YouTube subtitle acquisition, supporting dynamic function loading and a cache mechanism.

An MCP server based on YouTube Music that allows you to search for and play music through an AI assistant.

yt-dlp-mcp is an MCP server implementation integrating yt-dlp, providing video and audio content download functions for LLMs and supporting multiple platforms such as YouTube, Facebook, and TikTok.

A YouTube video caption acquisition and analysis MCP server designed for Claude

Fetch-MCP is an MCP server tool for fetching URLs and YouTube video subtitles.

An MCP server tool that provides YouTube video search and automatically saves the results to Google Sheets

The DeepSRT MCP server is a protocol service that provides YouTube video summary functionality by integrating the DeepSRT API