"Fetch the current date and time" matching MCP servers:

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.

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

Wallet-funded MCP client for six paid Utilia tools: Solana priority fees, transaction diagnosis and simulation, token-risk checks, PDF-to-Markdown, and audio normalization over x402. MIT-licensed and installable from npm.

Enables MCP-aware agents to fetch direct captions or download audio and transcribe with local Whisper from common video platforms like YouTube, Vimeo, and Twitch.

Enables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Enables natural language control of Pure Data patches through Claude AI, allowing dynamic creation, modification, and DSP control via the Model Context Protocol.

Enables AI assistants to fetch YouTube video transcripts with precise timestamps, multi-language support, and time-range filtering.

MCP server for Audionaut, a free, open-source multitrack audio editor for macOS, Windows and Linux. Agents can split and move clips, set gain, fades and crossfades, time-stretch, work with regions, run audio analysis and Auto Edit, separate stems and export. When the project is open in the app, each edit lands there as one undo step and the project file is never overwritten. Setup: npx -y audionau

Enables downloading videos from 1000+ platforms including YouTube, Bilibili, TikTok, and Twitter using yt-dlp. Supports both MCP protocol and REST API modes with real-time progress tracking, multiple formats, and subtitle downloads.

Enables users to fetch transcripts and comments from public Loom video URLs. It provides tools to retrieve video text data and discussion threads directly through the Model Context Protocol.

Enables AI assistants to fetch and analyze transcripts from YouTube videos using video IDs or URLs, with support for multiple language preferences.

Enables complete control over the Carla audio plugin host through natural language, providing 45 tools across session management, plugin control, audio routing, parameter automation, and real-time analysis for professional audio production workflows.

Enables recording the macOS Dock over time, querying Dock status and history, capturing snapshots, and rendering Apple-style timelapse videos, previews, and still frames.

A Bilibili subtitle fetching MCP server that supports various input formats (BV number, video URL, short link) and offers configurable language preferences, output formats, and ASR fallback.

Enables Claude to edit photos in darktable via natural language, adjusting sliders, applying styles, and organizing the library in real time through the MCP protocol.

Enables executing Python scripts, rendering scenes, and controlling 3D objects in Blender via Claude, with support for Cycles and EEVEE engines.

Enables high-quality image generation using Google's Imagen 4 Ultra model via the FAL AI platform, featuring automatic local file downloads and batch processing. It supports various aspect ratios and offers both real-time and asynchronous generation methods through the Model Context Protocol.

Enables AI agents to fetch transcripts, metadata, and download videos/audio from YouTube without API keys.

A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.