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

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.

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.

Enables users to get expert help with Isaac Sim scripting, USD (Universal Scene Description), Python snippets, and API usage through NVIDIA's USDCode AI assistant. Provides specialized guidance for 3D graphics and simulation development workflows.

MCP server that gives non-multimodal models 'eyes' by describing images via NVIDIA NIM's MiniMax-M3 model, with tools to describe images and list available vision models. It supports multiple NVIDIA API keys with automatic failover and rotation.

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

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

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Enables AI agents to interact with ServiceNow through MCP, providing schema inspection, record CRUD, attachments, audit, Flow Designer, and platform investigations with policy-guarded access.

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.

A self-hosted platform that aggregates upstream MCP servers, OpenAPI imports, and remote device connectors behind a single endpoint per profile, with per-agent scoped authorization, tool/prompt/resource catalogs, and approval-based temporary permissions. It also lets administrators distribute skills and connectors to paired devices and export client configurations.

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.

Enables platform engineering workflows via GitHub Copilot, including creating repositories from templates and provisioning Azure deployment environments.

Enables interaction with Mia-Platform Console through the Model Context Protocol, supporting machine-to-machine authentication and personal credentials for managing resources.

Enables AI assistants to simulate Stardew Valley maps and inspect or edit pixel-art sprites through two compact MCP tools. It supports collision, warps, pathfinding, NPC movement, map consistency checks, and sprite drawing/reading workflows.

Enables users to look up, search and compare the listing and submission requirements that Claude, ChatGPT, Cursor and the Official MCP Registry impose on connectors and plugins. Every answer comes from a bundled, read-only dataset and carries source citations, an evidence label and the date the requirement was last verified.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.

Connects a running Claude Code session to Meta's WhatsApp Agent Platform so you can message your own agent from your phone and receive replies in the same chat, limited to the agent profile's creator.

Enables AI assistants to query and manage Flowcore resources through a structured API.

Exposes Power Platform Pipeline operations as MCP tools for Copilot Studio agents, enabling pipeline discovery, deployments, approvals, and configuration management.

Provides real-time supply chain compromise intelligence from X, enabling coding agents to check packages and view recent incidents before adding dependencies.