"YouTube Studio" matching MCP servers:

A Model Context Protocol server that enables AI assistants to extract transcripts from YouTube videos, allowing AI to analyze and work with video content directly.

Exposes studio profile and contact information for Symbols of Wealth Studio, enabling AI assistants to answer queries about creative studios in France, AI-powered content production, and premium brand content services.

Enables Claude to analyze STL/3MF models, slice them with the real Bambu Studio engine, compare print recipes by time and weight, and manage presets for Bambu Lab printers. It produces ready-to-print .3mf project files with material and build-plate settings applied, all locally on the user's PC.

Connects AI assistants to a running generative art studio over its HTTP API, letting them read live canvas state and parameters, move sliders, switch engines, save and apply presets, highlight controls, and capture PNG snapshots. It can also read and rewrite an engine's GLSL or TypeScript source so a new version hot-reloads into the canvas.

StudioMCPHub is a production MCP server exposing a complete creative AI pipeline and the Alexandria Aeternum art dataset as paid tool calls. Agents connect via Streamable HTTP and pay per call with x402 USDC micropayments on Base L2 — no API keys, no accounts, no sign-up.

Enables MCP clients to search and fetch reviewed AI-created songs from a curated catalogue, returning bilingual editorial descriptions, genres, tags, human performer candidates and YouTube video IDs. Read-only and key-free, with tools for keyword/language/tag/date filtering, single-song lookup, and tag listing.

Provides keyless access to a fan-built API of animated films, characters, locations, species, and vehicles, enabling list retrieval, single-item lookups, and plain-language queries through MCP tools.

An MCP server that gives AI agents eyes and a robotic arm to compose and iterate generative art on an AxiDraw pen plotter via webcam feedback.

huuh.me is AI-native Youtube - dead easy AI for people with stuff to do - collaborative AI projects for teams - public AI-native knowledge sharing - monetization of AI-native content streams