"A tool or method for obtaining YouTube video transcripts" matching MCP servers:

Analyzes public YouTube videos with Google Gemini, enabling summarization, timestamped insights, metadata extraction, audio analysis, and long-video sessions with follow-up questions.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

MCP server for YouTube creator-ops — video metadata, comments, playlists, channel analytics, plus a ComfyUI bridge for AI thumbnail generation.

Enables fetching YouTube video transcripts in various formats via the Model Context Protocol, allowing LLMs to access and process YouTube video transcripts securely.

Extracts YouTube transcripts and performs AI-powered video analysis for Claude Desktop, enabling transcript retrieval, quality analysis, and smart resource management.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

MCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables generation and enhancement of videos through a unified entry point to 200+ video models (Kling, Hailuo, Seedance, Vidu, Wanxiang), covering text-to-video, image-to-video, start-end frame interpolation, reference-to-video, video upscaling, and digital-human talking-head clips. Built for short-video operations, ad placement, and drama teams that would otherwise juggle several platforms for a single clip.

Enables shell-less agents to discover available video capabilities, gather timestamped local evidence such as scenes, frames, motion and audio, and query or diff stored observations through MCP tools. Observation and sample directories act as handles, letting hosts and the CLI read the same evidence.

An async video generation MCP server with multi-provider support. Currently in skeleton phase with stub implementations, it will eventually enable video generation through providers like Veo 3.1, Grok Imagine Video, and Sora 2 Pro.

Enables turning public YouTube videos into full text and a short summary by having Gemini watch the video through its documented YouTube-URL input, with no downloading or caption scraping. Digests are cached in SQLite by video id, so repeated requests are free, and stored videos can be listed or searched with full-text queries.

MCP server enabling video analysis via scene detection, audio transcription, visual description, and stylistic fingerprinting, with tools for full pipeline execution and storyboard generation.

MCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

Enables video generation from text prompts or images using Agnes AI's video models, with async task submission and status polling.

Enables AI agents to generate videos by paying per call with USDC on Base via the x402 protocol, with no accounts or API keys required.

An MCP server that enables generating images via OpenAI and images/videos via Google Gemini (including Veo video generation), saving outputs to local asset folders. It integrates with Claude Code and any MCP client using your own API keys.

Provides a no-op 'think' tool that enables Claude to decompose complex problems and enhance reasoning by pausing to organize thoughts.