"YouTube Studio" matching MCP servers:

It enables Microsoft Copilot Studio agents to connect to and use MCP-based tools, such as fetching jokes, through an Azure-deployed server and Power Platform connector.

Enables AI assistants to query Google AI (Gemini models) via Vertex AI or Google AI Studio with automatic tool selection, multi-turn reasoning, and multimodal input support.

MCP server that connects LLM agents to a local LM Studio instance, enabling model management, OpenAI-compatible chat completions, text completions, and embeddings through a set of tools.

Enables LLM agents to orchestrate a film production pipeline from brief to final cut, including shot planning, rendering, quality control, and assembly, using block-method planning and style-drift QC.

Enables two-model orchestration where Gemini in Google Antigravity delegates coding tasks to Qwen 3.8 Max in Qwen Studio Desktop via CDP, managing prompt delivery, file generation, continuation, and verification.

A Model Context Protocol server that enables Claude to interact with YouTube data and functionality through the Claude Desktop application.

Connects agentic platforms to one or more local or networked LM Studio instances, exposing chat, embeddings, model listing, health, and pool-status tools. Provides intelligent load balancing, automatic failover with circuit breaking, role-based routing, and a daemon mode with a real-time web dashboard and HTTP/SSE endpoints.

Connects AI assistants to the Pickaxe platform for managing AI agents, knowledge bases, users, and analytics through natural language, including chat history analysis, document management, and multi-studio operations.

Intelligent LLM orchestrator that automatically routes tasks to the most appropriate AI model (Gemini, Qwen, Ollama, LM Studio) based on task characteristics, enabling distributed processing and parallel execution across local and network services.

Integrates Loopy's AI agent loop library with MCP-compatible clients like LM Studio, enabling discovery, analysis, crafting, and execution of bounded agent workflows.

A simple MCP server that allows AI assistants like Cursor or Claude Desktop to search for and play tracks on YouTube Music through natural language commands.

Enables AI agents to create and manage video compilations through n8n workflows with smart query optimization, quality analysis, batch processing, and trusted channel filtering for platforms like YouTube.

An MCP server that allows AI models to control YouTube Music playback through Google Chrome by searching and playing songs using song and artist names.

An MCP server that enables Microsoft Copilot Studio to fetch random jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes.

Enables users to retrieve jokes from various categories including Chuck Norris jokes and dad jokes. Provides a humor-focused tool that can be integrated into Microsoft Copilot Studio agents for delivering appropriate and engaging jokes upon request.

A unified Model Context Protocol server that aggregates multiple MCP servers into one, allowing AI assistants like Claude Desktop, Cursor, and Cherry Studio to connect to a single server instead of managing multiple instances.

A zero-dependency universal MCP gateway that multiplexes multiple MCP servers across stdio, HTTP, and SSE, providing unified tool access, circuit breaking, and an interactive inspector studio.

Enables Microsoft Copilot Studio agents to fetch and deliver jokes on demand through the Model Context Protocol. It is published as a Power Platform custom connector, so access benefits from enterprise security, governance, and real-time data capabilities.

Acts as a broker that lets an MCP client drive multiple Desktop Commander workers, with automatic connection recovery and protection against file writes colliding across sessions. It also provides a Windows setup/dashboard for installing dependencies, registering workspaces, starting the OpenAI tunnel, and monitoring workers, sessions, queues, and recent events.

Enables coding agents to compose, edit and run multi-agent pipelines represented as songs, where channels are agents, notes are agent calls, and mixer buses carry each agent's output to the next. Lets agents create and modify arrangements, validate and render projects headlessly, play them back live in a studio window, and export the result as WAV or MP3, with every change undoable and cached takes replayed for free.