"How to Download Videos" matching MCP servers:

Enables researching YouTube channels and videos by listing uploads, reading transcripts, extracting frames, and searching, without needing a YouTube API key.

Enables AI assistants to track weekly npm package download trends, growth rates, and rankings for market and developer ecosystem research.

Enables AI hosts to query App Store download trends, growth percentages, and live top charts, along with 30+ other trend data sources, through MCP.

An MCP server for downloading academic papers from multiple sources using intelligent routing and year-aware priority selection. It enables users to retrieve metadata and download single or batch PDFs by DOI or URL.

Enables AI assistants to query distilled SEO expert tactics from public content, returning actionable insights linked to original source videos.

Enables building a local, searchable knowledge base from YouTube videos, with research, transcript retrieval, and timestamped citations.

Enables searching live job postings, aggregating labour-market slices, and reporting how long listings have been open, with filters for titles, location, salary, and more.

MCP server to batch download open-access PDFs from PubMed Central (PMC), supporting PMCID/PMID lookup, parallel downloads, and download reports.

Enables AI agents to discover NEON ecological data products and sites, check data availability, list and download data files, and generate citations via the NEON Data API.

Enables AI agents to search YouTube like a database, retrieve transcripts and channel data, and mine videos for claims, numbers, and demand signals — without needing an API key.

Enables AI assistants to search, download, and access arXiv papers with local storage and date filtering via the Model Context Protocol.

Enables AI clients to search, read, and accurately quote public-domain books from Project Gutenberg, with chapter detection and stable line numbers for citation. Its quote_check tool verifies whether a quotation actually appears in a book and reports how faithful the copy is.

MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments

Provides a clean interface for AI agents to search arXiv papers, fetch metadata, read full text, and download PDFs/source, with rate-limiting, on-disk caching, and session pinning to avoid duplicate fetches.

Enables to search academic papers in Japanese and English, inspect availability of full text, and download public PDFs locally.

MCP server that lets AI assistants like Claude Code and Codex drive the co-scientist engine to generate, review, rank, and evolve scientific hypotheses via an Elo tournament.

MCP server for extracting structured intelligence from YouTube channels and videos — transcripts, topics, and competitive signals for AI-powered research workflows.

Enables AI agents and Claude Code to query podcast download analytics from OP3, including unique listeners, retention cohorts, audience geography and apps, episode performance, and show comparisons via natural language.

Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.

A YouTube MCP server that enables AI agents to search videos, fetch transcripts, comments, and channel info, with optional API key for extra features and local semantic search via corpora.

Enables agents to search, inspect, preview, download, and cite LTER and EDI ecological data packages from the PASTA+ repository, including metadata, entities, citations, change feeds, and provenance. An API key unlocks quality reports, lineage, read counts, and other privileged PASTA endpoints.

Enables AI agents to analyze YouTube channels and identify videos that significantly outperform the channel's median view count, along with channel search, video lookup, and trending tools.

MCP server for Tracetify — trace how any product actually grew, without leaving Claude Code or Cursor.

Enables AI assistants to search multiple tech job boards at once, summarize what the market is asking for, and rank postings by how well they match a user's own skills.

Enables users to search, download, and read academic papers from multiple platforms including arXiv, PubMed, bioRxiv, Google Scholar, Semantic Scholar, and CrossRef through a unified interface.

Open-source Model Context Protocol server for iOS App Store market research with four read-only tools for app discovery, revenue/download estimates, ASO keyword research, and review analysis.

An MCP server for researching YouTube niches. It searches videos, fetches metadata, calculates engagement metrics, downloads thumbnails, and produces aggregate niche statistics for analysis.

Enables AI to search, filter, and process CNKI academic literature through natural language, including structured search, metadata retrieval, full-text reading, citation export, and PDF/CAJ download.

Returns USDA-derived edible yield, refuse percent and trim waste for 305 raw fruits and vegetables, letting an assistant convert between as-purchased and edible weights. It also answers how many whole items or how much produce to buy for a recipe amount given in grams, pounds, cups or household measures.

Enables AI agents to download institutionally entitled paywalled papers from IEEE Xplore and Elsevier ScienceDirect through Hainan University WebVPN, check session status, and save PDFs via stdio MCP tools.