"A digest or summary of popular Reddit content" matching MCP servers:

A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Enables AI agents to collect and localize content from WeChat, Douyin, Kuaishou, Xiaohongshu, and Bilibili, with 47 MCP tools for fetching articles, parsing media, and managing a unified local content library.

Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.

Enables users to convert video URLs into GIF images with customizable size, frame rate, time range, and looping, returning the GIF and a text summary to MCP clients.

MCP server that connects Claude to Bucket, enabling semantic search, browsing, reading, and downloading of saved content like Instagram reels, TikToks, tweets, YouTube videos, and notes, plus saving new URLs into the user's Bucket.

A content studio MCP server for coding agents that generates media, renders videos and carousels deterministically, and publishes with a draft-first outbox.

A professional implementation of a Model Context Protocol server that enables integration between DaVinci Resolve video editing software and AI assistants like Claude Desktop or Cursor.

Enables local control of Adobe After Effects via MCP, offering offline creative skills, project inspection, and operation execution without cloud relay or an installed AE panel.

An MCP server that gives Claude Code (or any MCP client) full control of Reaper.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

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.

Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.

An MCP server that enables users to retrieve YouTube transcripts and perform video or channel searches without requiring Google API keys. It supports transcript chunking and provides tools for detailed video content analysis and channel metadata extraction.

Enables remote control of Blender via the Model Context Protocol, allowing users to execute Python scripts, query scene data, and generate 3D models from images. It provides a bridge for AI clients to interact directly with Blender's internal environment and automate 3D content creation.