"How to find or generate YouTube video transcripts" matching MCP servers:

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

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.

Enables MCP clients to generate images using Tencent CloudBase's Hunyuan AI, supporting text-to-image and image-to-image with authentication and rate limiting.

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

MCP server for generating and editing images and videos via DashScope/OpenAI-compatible APIs, with tools for text-to-image, image editing, text/video generation, and automatic local download.

Enables Claude to generate videos from text prompts via the Replicate API, check generation status, and download completed videos to disk.

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.

A remote MCP image generation server that unifies OpenAI Images and Gemini generateContent APIs with preset-based configuration for multi-provider support.

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 MCP clients to generate images, videos, and Seedance clips through the PowerTokens official REST API, including model and pricing discovery, cost estimation, asset uploads for first/last-frame references, and automatic polling and downloading of results.

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.

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.