"Video content analysis and understanding for large language models" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

SERP-based content scoring and optimization with 7 SEO categories.

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Provides Baidu hot search and Bilibili trending video data for Claude and Cherry Studio, supporting retrieval, search, and cache management.

Fetches and tracks content from YouTube channels, RSS feeds, and GitHub releases with persistence to identify new items across sessions.

Enables intelligent web searching using SearXNG with content crawling via Creeper, then summarizes webpage content using LLM to avoid token limit issues. Supports smart filtering with domain blacklist/whitelist and optional LLM-based relevance filtering.

Enables AI assistants to search and retrieve structured video material, including dialogue, jokes, story structure, and video details through natural language queries.

MCP server that fetches and converts website pages into clean markdown for agents, with sitemap-based discovery, disk caching, and polite crawling (robots.txt, rate limiting).

Provides content intelligence tools for AI agents, including extraction, analysis, research, comparison, monitoring, and briefing, powered by free LLMs with pay-per-call or subscription pricing.

Combines Naver DataLab trends, blog/news search, translation, and Unsplash images into a single research pipeline for content creators. Generates comprehensive research reports from a single query.

Korean-content MCP that consolidates real-time trends from Naver, Daum, Google, YouTube, and Zum, includes a 100+ Korean holiday database, and provides a viral-score predictor for content optimization.

Enables comprehensive content management through Markdown processing, HTML rendering, intelligent fuzzy search, and document analysis. Supports frontmatter parsing, tag-based filtering, table of contents generation, and directory statistics for efficient content organization and discovery.

Read-only MCP server for Ghost sites that enables AI assistants to search, summarize, and read content via hybrid lexical and semantic ranking.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

Connects AI assistants to authentic Islamic content including Qur'an, Hadith, and resources in multiple languages via over 80 tools.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

Enables AI models to access IBM FileNet Content Manager capabilities including document management, property extraction, legal holds, and AI-powered document insight through standardized MCP interfaces.

Enables to search, analyze, and export Douyin (TikTok China) video and user data, including interaction metrics, content length, and keyword trends.

MCP bridge for PDF Content Search — full-text PDF search with Apple Vision OCR across thousands of documents in under a second from Claude, Cursor, or any MCP client. Advanced filters (date, category, sender, amount), wildcards, boolean operators. Bridge open-source (MIT), PDF Content Search app is commercial with free iOS+Android companion scanner apps.

Self-hosted video intelligence pipeline that turns video into structured, citable, queryable JSON scene graphs, enabling AI assistants to analyze and search across video libraries without re-processing.

MCP server for reading OPC events from the OPC one-person company tool station via personal API key. It provides an opc_list_events tool to fetch event lists, designed for use with Claude Desktop, Cursor, and Cline.

A video analysis system that uses AI vision models to process, analyze, and query video content through natural language, enabling users to search videos by time, location, and content.

MCP server to read OPC discover content (AI deals/tools) from mrkjai.com using a personal API key, enabling AI assistants to fetch the latest curated AI resources.

MCP server that reads OPC policy information from the OPC personal tool station via API key, enabling users to query policy updates.

A Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.

A specialized MCP server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents.

Enables querying and searching GOV.UK content through the Pipeworx MCP gateway, integrating with 673+ data sources for AI agent access.

Provides comprehensive AI model metadata through MCP, enabling search and filtering of 100+ AI models by capabilities, pricing, context length, and provider specifications.

Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.