A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.

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

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 querying Erick Wendel's cross - platform contribution content, supporting natural language queries for talks, blogs, and videos.

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

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.

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.

The enhanced Markdownify MCP UTF-8 is a Markdown processing service that supports multilingual content conversion. It optimizes UTF-8 encoding support, provides Markdown conversion capabilities for various formats such as PDF, images, audio and video, and Office documents, and is specifically optimized for the Windows system.

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

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

TikTok MCP is a tool that integrates TikTok access functions, providing video content analysis, subtitle acquisition, and post detail query services for applications such as Claude AI through TikNeuron.

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.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

MCP Kling is the first and only complete Kling AI MCP server, offering 13 creative tools that support video generation, image processing, lip-syncing, and virtual try-on, enabling seamless integration with Claude, suitable for content creators and developers.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, offering multiple transcription service options, with flexible configuration and high - efficiency processing capabilities.

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 Jianying video production MCP server is an automated tool based on the Model Context Protocol, enabling AI assistants to create professional video content through natural language, supporting automatic creation of Jianying drafts, adding materials, applying special effects, and exporting project files.

TikTok MCP is a tool that integrates TikTok access functions, supporting the analysis of video popularity factors, retrieval of video content, and interaction with videos. It is suitable for applications such as Claude AI.

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.

MCP Video Digest is a video content processing service that supports extracting audio from multiple platforms and converting it into text, providing multiple transcription service options.

An MCP server developed in Go, supporting SSE and stdio operation modes. It provides functions for querying Bilibili personal information, following lists, and video search, and helps AI select personalized video content.

Content Core is an AI-driven, multi-functional content extraction and processing platform that supports content extraction from various sources such as web pages, documents, audio and video, and provides functions such as intelligent cleaning and summary generation. It supports multiple integration methods such as the command line, Python libraries, and MCP services.

A server tool based on the Model Context Protocol, used to extract subtitle text from YouTube videos. It supports integration with Cursor and Claude Desktop, facilitating AI to directly analyze video content.

The YouTube MCP server is a comprehensive model context protocol server that provides real-time YouTube data access through the YouTube Data API v3. It supports 14 functions, including video detail retrieval, channel analysis, content evaluation, and caption extraction, and is suitable for AI assistant integration.

An MCP server developed in Go, supporting SSE and stdio operation modes, providing functions such as Bilibili personal information query, latest following list, and video search, and facilitating AI to select personalized video content.

A YouTube data service based on the MCP protocol, providing functions for extracting video subtitles, comments, and other content

iReader MCP is an MCP server that provides tools for reading and extracting Internet content, supporting text extraction from web pages, YouTube videos, Twitter threads, and PDF files.

The MCP server for YouTube video transcript extraction supports multi - language transcript acquisition, making it convenient for AI models like Claude to directly use video transcript content.

Shorts Video Maker is an open - source tool for automated short - video generation. It combines text - to - speech, automatic subtitle, background video, and music technologies to create engaging short - video content through simple text input. It supports REST API and MCP protocols and is suitable for content creators and developers.

Luma AI's MCP Server realizes functions such as text/image - to - video generation, video enhancement, and creative content management through the Dream Machine API

An MCP server implementation based on the YouTube Data API, providing a standardized interface for AI language models to access YouTube content, including functions such as video information, subtitle management, channel analysis, and trend analysis.

An MCP service that transforms YouTube into a queryable knowledge source, providing functions such as video search, detail retrieval, and content analysis, and supporting advanced operations such as summary generation and learning path planning through AI.

An MCP server based on the YouTube Data API v3, providing search and data analysis functions for videos, channels, and playlists, supporting content discovery and indicator query.

This is an MCP server for accessing and analyzing data from the Google Ads Transparency Center. It can query enterprise advertising campaigns, analyze advertising content (including images and videos), compare the advertising strategies of different companies, and provide insights into advertising effectiveness.

The CloudGlue MCP service is a bridge connecting AI assistants and video data. It processes video content in a structured way so that it can be understood and used by large language models.

The Video Indexer MCP server provides tools and resources for interacting with the Video Indexer API, supporting the generation and retrieval of prompt content from video insights.

The TwelveLabs MCP service is a video analysis platform based on the TwelveLabs API, offering index management, video analysis, text search, and content generation capabilities.