"YouTube Studio" matching MCP servers:

Serves TypeSafe's Jev ruleset to MCP hosts as a prompt and instruction tool, enabling agents to experiment with Jev's natural-language decision capabilities.

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.

Gives your AI assistant your career history: it saves and scores job postings, tailors a resume to each one from things you actually did, renders the PDF, and tracks your applications. Runs on your own computer with Maestro Career Studio, which installs with two commands on macOS, Linux and Windows.

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

Enables AI agents to control CST Studio Suite for 3D electromagnetic simulation, antenna design, and schematic-based field-circuit co-simulation through 177 MCP tools.

Enables MCP clients to drive native CAD and 3D applications—Autodesk Fusion, Blender, and Unreal Engine—by planning work, executing trusted Python, inspecting real geometry, revising editable source files, and handing assets between applications. Each job keeps durable state, revision checks, and artifact hashes, with role-based handoffs for planning, modeling, geometry QA, interchange, and review.

Houtini LM - LM Studio MCP Server with Expert Prompt Library and Custom Prompting - Offload tasks to LM Studio from Claude Desktop.

Enables AI clients such as Claude Desktop, Cursor, and Copilot to connect over MCP STDIO to CAD/CAE/CAM tooling for natural-language parametric shape synthesis, CSG script generation, solid watertightness validation, error analysis, and autonomous correction.

Enables bounded, multi-phase coding workflows inside Codex that plan, implement, independently review, repair, and verify repository changes, with an inline dashboard for inspecting runs.

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.

Coordinates multiple Kilo Code agents via MCP, managing tasks, approvals, and verification across development environments like VS Code and Android Studio.

Enables a local-first autonomous coding agent that plans, edits, and verifies code using LM Studio, Ollama, or llama.cpp models, with hardware-aware parallel sub-agents and optional frontier-model planning.

Enables a local LM Studio model to send push notifications to your phone via Telegram and to ask questions or wait for your replies, allowing remote, two-way steering of tasks without touching the computer.

Production-ready MCP server for secure Python code execution with artifact capture, virtual environment support, and LM Studio integration.

A Model Context Protocol server that provides jokes on demand, allowing users to request jokes from different categories (Chuck Norris, Dad jokes, etc.) and integrate them into Microsoft Copilot Studio and Visual Studio Code.

Turns CST Studio Suite into an AI-controllable electromagnetic design lab, enabling conversational THz metamaterial absorber design, unit-cell automation, Floquet port control, batch solve with checkpoint-resume, and surrogate-model predictions.

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.

A Model Context Protocol (MCP) server that enables integration of joke delivery capabilities into Microsoft Copilot Studio and GitHub Copilot, allowing users to request and receive various types of jokes through natural language.

Enables natural-language control of CST Studio Suite for electromagnetic simulation, covering modeling, materials, ports, solvers, result reading, and VBA scripting, with an embedded knowledge base and constraint hooks that self-evolve through use.

Enables natural-language-driven modeling, simulation, and optimization of antennas in CST Studio Suite, covering geometry, materials, ports, solvers, S-parameters, far-field analysis, parameter sweeps, and optimization via 73 MCP tools.