"How to Download Videos" matching MCP servers:

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

A basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.

Enables AI agents to semantically search, ask questions about, and analyze videos, with persistent memory and social media import capabilities.

Enables asking natural language questions about local videos, using Whisper transcription, ChromaDB vector storage, and Groq for timestamped answers via MCP.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.

Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Enables AI assistants to interact with CrowdCent's prediction challenges, allowing them to access challenges, download datasets, submit predictions, and monitor submissions through natural language commands.

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.

This server enables users to download entire websites and their assets for offline access, supporting configurable depth and concurrency settings.

Enables Claude Desktop and other AI tools to interact directly with Figma, allowing for powerful AI-assisted design capabilities through natural language commands.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

This read-only MCP Server allows you to connect to JSON data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for JSON (https://www.cdata.com/drivers/json/download/mcp).

This read-only MCP Server allows you to connect to Phoenix data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Phoenix (https://www.cdata.com/drivers/phoenix/download/mcp).

This read-only MCP Server allows you to connect to SFTP data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for SFTP (https://www.cdata.com/drivers/sftp/download/mcp).

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

This read-only MCP Server allows you to connect to IBM DB2 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for IBM DB2 (https://www.cdata.com/drivers/db2/download/mcp).

Enables agents to chat with Google NotebookLM notebooks, ingest URL or pasted-text sources, generate and download audio overviews, and retrieve DOM-level citations by driving a real Chrome session.

Enables MCP clients to curate YouTube watch history and locally search selected transcripts using SQLite FTS5, ChromaDB embeddings, and reciprocal rank fusion, with tools to browse unindexed history and add videos.

Enables agents to query grounded notebooks and get citation-backed answers with quoted source excerpts, plus generate and download Studio artifacts such as audio overviews, videos, infographics, reports, presentations, data tables, flashcards, quizzes and mind maps. Supports multi-turn sessions, batch runs with account rotation and auto-reauth, and can also be driven through a local HTTP REST API for no-code workflows.

Enables AI clients to search curated, cited knowledge bases built from founders', CEOs', and investors' public talks, essays, and posts, returning passages with source links and dates. It also exposes available source collections via MCP tools so users can ask how those individuals might approach business, product, or growth questions.

Enables AI coding agents to store and search team and personal know-how as small entries across local SQLite and hosted Postgres stores, with federated search and writes to the chosen store so new sessions build on prior knowledge.

Enables search across videos you've watched via transcripts, on-screen text, and frames, citing exact timestamps. Point it at videos, channels, or playlists; it indexes everything locally and answers queries with deep links to the exact second.

Enables arXiv paper search, PDF download, text extraction, and context chunking for LLM pipelines, along with advanced features like citation graphs and reproducibility scoring.

Automatically converts OpenAPI/Swagger documents into MCP servers, enabling AI agents to call third-party REST APIs via the MCP protocol.

Provides structured search tools (web, news, images, videos, research) via a SearXNG instance, with direct URL reading disabled by default for security.

A lab demonstrating how to deploy a Model Context Protocol (MCP) server and integrate it with Microsoft Copilot Studio, allowing users to connect AI models to different data sources and tools through a standardized protocol.