"How to use a search engine" matching MCP servers:

MCP server that extracts YouTube video transcripts, supporting multiple languages and URL formats, for use with AI agents.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

A deterministic video rendering engine that enables AI agents to create programmable, reproducible videos via MCP protocol.

Enables local audio and video transcription via the audiototext engine, returning detected language, full text, and timestamped segments.

Enables an AI agent to drive a running Adobe After Effects, inspecting projects and editing comps, layers, effects, keyframes, text, masks, expressions, and rendered frames through natural language. It provides a small tool surface with dry-run validation and undo-grouped operations for safe autonomous use.

MCP server for AI-powered image, audio, and video generation, enabling media creation directly from Claude, Cursor, and other MCP clients.

Enables Gemini-powered multimodal analysis (video, audio, image, documents), Google search, and code execution via the API易 service. Supports Docker deployment and flexible configuration.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

Enables generating game-ready 3D models, images, and animations from any MCP client via PicoBerry's multi-engine API.

Transforms DALL-E 3, DALL-E 2, and GPT-Image-1 into MCP-compatible tools for generating images from natural language descriptions, supporting batch creation, style control, and flexible sizing.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

Enables searching, retrieving metadata, and downloading YouTube videos or audio without requiring an API key. It utilizes yt-dlp to support media retrieval and playlist management within MCP-compliant clients like Claude and Cursor.

Enables agents to record their Linux X11 display while doing browser or computer-use work, then return a replay link when the task finishes without sending the video itself to the model.

MCP server for Jianying (CapCut) AI-assisted editing, enabling natural language-driven draft generation, reference reuse, and batch template creation with safety checks.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

Enables AI agents to inspect and control Q-SYS audio/video systems via the QRC protocol over TCP, against a real Core or Q-SYS Designer emulator.

Enables fetching, searching, and analyzing YouTube video transcripts in multiple languages using yt-dlp. Supports timestamp filtering, language detection, and transcript summaries with robust error handling for production use.

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.