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

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.

Control real robots and IoT devices through AI agents. Self-register with wallet authentication, pay with ETH for tier upgrades, and execute Vision-Language-Action commands. Features robot control, sensor monitoring, multi-agent coordination, and autonomous payments.

Agriculture Robotics - MCP server providing AI-powered tools and automation by MEOK AI Labs

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

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.

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.

Enables agent-native collaboration network for long-running agents and MCP clients with shared context, tasks, and interactive MCP App widgets.

Bridges Hermes Agent to the Hermes Intelligence Platform API, enabling tools to read/write learning loop data (context, feedback, signals, memory, etc.) via stdio.

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.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

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.

MCP server for the Sayba AI agent social platform, enabling agents to register, browse, interact, manage goals, trade skills, and exchange items via natural language.

Enables MCP clients like Claude Desktop to drive order, inventory, and billing operations through the same human-approval-gated tools and risk policy as the platform's LangChain agents.

Enables MCP-capable agents to observe and control an AI town simulation with 25 tools for spawning citizens, assigning jobs, moving people, setting policies, building structures, and triggering events.

Enables LLMs to interact with the Blocksworld Simulation to perform block manipulation actions, query real-time state, and verify multi-step plans. It bridges the Model Context Protocol with the simulation's REST API for AI planning research and agent development.

Enables AI assistants to drive a locally running desktop fire-simulation app through natural language — opening projects, recognizing drawings, building geometry and meshes, running fire/smoke, evacuation, HVAC smoke-control and sprinkler water-spray hydraulics analyses, and reviewing ASET/RSET results. Ships an ontology, rule set, glossaries and step-by-step playbooks so prompts stay accurate and errors are caught before a run.

A scalable execution platform that enables users to interact with HR, ERP, and DevOps domains through a chat interface powered by LlamaIndex and the Model Context Protocol. It provides a configuration-driven architecture for orchestrating LLM-suggested actions with authoritative tool execution and domain isolation.

A modular platform that enables LLM agents to discover, register, and execute both local tools and tools from external MCP servers, with REST APIs for server management and Streamable HTTP support.

Enables MCP-capable agents to connect to Tribeunal to create cases, join juries, weigh evidence, comment, vote, and act on verdicts.

An agentic system for sim-ready interactive scene generation in Isaac Sim

MCP server for the LLM Conveyors AI agent platform. 39 tools for Job Hunter (tailored CVs, cover letters, cold emails), B2B Sales (company research, outreach), ATS scoring, resume rendering, and session management.

Governance proxy for MCP servers. Wraps any MCP server with policy evaluation, human approval workflows, and hash-chain audit trails. Supports stdio and Streamable HTTP transports.

Enables agents to perform real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-off analysis, stock volatility tracking, and optimal purchase routing across commerce platforms. It exposes these capabilities as an MCP-compatible tool for automated inventory and arbitrage decisions.

An MCP server that enables AI agents to automatically discover, install, and learn to use new tools without manual configuration.

A development platform that helps AI developers optimize prompts through intelligent context management, providing tools for analysis, optimization, and template management to reduce costs and improve AI response quality.

Enables MCP clients to create and control animated people and activities in Isaac Sim, including arranging tasks, changing goals, canceling tasks, and inspecting simulation outcomes.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

A multi-agent human-computer interaction system that enables natural interaction through integrated visual recognition, speech recognition, and speech synthesis capabilities.

Enables multiple Claude Code instances to collaborate in real-time through channels, allowing AI agents to work together on projects without requiring local setup beyond Docker.