"NVIDIA" matching MCP servers:

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.

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

Enables local task execution using the user's NVIDIA NIM API quota, with tools to process file contents through LLMs, send chat prompts, and list available models.

Enables LLM agents to control NVIDIA Run:AI infrastructure by dynamically searching and executing over 426 Run:AI APIs through MCP tools.

Exposes NVIDIA GPU metrics (info, utilization, VRAM, temperature) via MCP tools for real-time querying from AI assistants.

Exposes local NVIDIA GPU (CUDA) and Rust-to-WASM toolchain as MCP tools for sovereign local compute.

An MCP server that enables AI agents to query real-time NVIDIA GPU metrics like utilization, memory, temperature, and power without external monitoring tools.

MCP server that delegates bounded subtasks to NVIDIA NIM sub-agents, enabling context offload and parallel fan-out for coding assistants like Claude Code and Cursor.

Provides AI agents with version-pinned NVIDIA CUDA-Q documentation, API reference, and runnable examples via MCP, using offline SQLite full-text search. It resolves docs to match the installed cudaq package to avoid version skew.

MCP server that vets LLM-emitted shell commands BEFORE execution — detects rm -rf nested deep in chains, package-manager glob removal (apt remove 'nvidia'), dd/mkfs filesystem destruction, chmod 777 / chown -R privilege blast, network-exfil via curl | bash, chained shutdown/reboot, git destructive ops. 30 detection rules across 8 families. Sub-second, local, free, MCP-native.

Enables agents to query GPU availability across SSH hosts, find free GPUs, list hosts, and inspect fleet status using only nvidia-smi on the remote side.

MCP server for reading, filtering, and analyzing NVIDIA Nsight Graphics captures via ngfx-replay, exposing tools for capture inspection, GPU Trace profiling, and replay analysis.

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 AI agents to inspect and free NVIDIA GPU VRAM by managing Ollama models, helping make room for loading new models.

A lightweight MCP server that provides real-time hardware statistics including CPU, memory, disk, and NVIDIA GPU usage. It enables users to monitor system performance and retrieve comprehensive host machine specifications through a standardized interface.

Enables AI assistants to control NVIDIA Isaac Sim by building scenes, loading assets, operating robots and humans, reading sensors, managing simulation, and creating Action Graphs.

Provides a unified MCP server for the SimLiverse Physical AI Platform, enabling LLM copilots to access Isaac Sim knowledge via NVIDIA NIM and execute/control simulation through a TCP socket.

Enables AI agents to access the Nvidia Supplier Map 2026 dataset, querying supplier edges by tier, supplier, ticker, or honesty flag. The free tier provides structural data, while a token-gated paid tier adds verbatim evidence quotes, source URLs, and filing dates.