"NVIDIA Isaac Sim Robotics Simulation Platform" matching MCP servers:

Enables AI tools like Windsurf and Claude to control NVIDIA Isaac Sim and Isaac Lab through natural language, providing tools for scene inspection, prim management, physics simulation, and robot spawning.

Enables natural language control of NVIDIA Isaac Sim through the Model Context Protocol, allowing you to create robots, build scenes, run simulations, and debug physics from any MCP-compatible IDE.

Provides full class documentation for the Binding of Isaac modding API, enabling AI assistants to access complete class pages with methods, enums, and tutorials to avoid hallucination.

Lets AI agents drive a live, persistent Isaac Sim session: load any articulated robot from a USD plus JSON config, set normalized joint targets and named poses, tune gains and couplings live, run joint range tests, and capture screenshots. It also launches and monitors detached Isaac Lab training runs, with Kit kept up between calls so each experiment costs a frame instead of a full relaunch.

Provides tools for NVIDIA NIM and Visual GenAI APIs, enabling chat completions, model listing, and image generation via NVIDIA-hosted endpoints.

Enables MCP-compatible assistants to inspect and diagnose NVIDIA Shield TV and Kodi over a local network, including redacted logs, playback and add-on checks, settings changes, reversible repairs, backups, and rollback. It runs locally and defaults to read-only until writes or plugin browsing are explicitly enabled.

Knowledge-based MCP server for photonics simulation engineering, providing rules, bugs, checklists, and tool recommendations for Lumerical FDTD/MODE/FDE, HFSS, COMSOL, and PyAEDT.

Enables mirroring and controlling the iOS Simulator from MCP clients, providing a live viewer, agent cursor tracking, and token-efficient UI snapshots for automation.

Enables AI models to read local images using NVIDIA vision models, supporting image description, text extraction, and custom analysis.

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 CAE simulation agents to manage tasks and runs through 12 restricted MCP tools, governed by a five-dimension state machine with human-only approval gates, evidence hashing, and executor/reviewer monitoring panels.

Provides circuit simulation capabilities via MCP, enabling creation, simulation (DC, AC, transient), and analysis of electronic circuits using PySpice.

An MCP server that composes XcodeBuildMCP and ios-simulator-mcp, adding React Native inspection tools to read the component tree, resolved styles, and perform layout audits on iOS simulators.

Enables multiple AI agents to each drive one wheeled robot inside a single shared warehouse physics world, with a coordinator assigning crates and stepping the lockstep simulation while robot connections submit motion commands through six to seven exposed tools. Supports deterministic replay, hash-chain verification, and offline headless rendering of first-person, chase, overhead, and combined camera views from the recorded run.

A Model Context Protocol (MCP) server for iOS Simulator automation. Enables AI assistants to visually interact with iOS apps running in the simulator.

Enables agents to open and navigate sites on emulated phones, tablets, and desktops through a connected browser extension, capture transparent PNG screenshots, and render device-emulated screenshots headlessly with Playwright.

Enables AI agents to drive iOS Simulators on macOS by listing devices, launching apps, tapping, typing, swiping, inspecting the UI tree, and taking screenshots.

MCP server that drives the iOS Simulator via accessibility-tree snapshots with stable element refs, enabling LLMs to interactively find, tap, type, and inspect UI elements at sub-200ms latency.

Enables AI agents to control hardware devices like Arduino, Raspberry Pi, 3D printers, CNC machines, and custom robots via serial ports and HTTP. Provides tools for device discovery, command sending, sensor reading, servo control, G-code execution, and emergency stops with safety features.

Enables AI agents to manage iOS Simulator state declaratively through MCP tools for inventory, snapshot, diff, planning, and safe apply operations.

Enables LLM agents to control robot simulations (grasping, pouring) in the Genesis physics simulator through persistent sessions, allowing multi-turn interaction with the same scene.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Enables AI agents to inspect and safely control ROS 2 topics, nodes, parameters, PID loops, LiDAR maps, trajectories, and robot fleets through guarded tools, plus a real-time dashboard with emergency-stop controls.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Enables IDE plugins to authenticate and communicate with the YAAIF platform via MCP, bridging Cursor, VS Code, IntelliJ, Claude Code, Codex, and OpenCode.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Enables running a local multi-agent pipeline that turns a product idea into a validated technical spec, with tools to generate, deterministically check, LLM-review, and retrieve stored runs.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.