Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
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Home Automation & IoT · AI Chatbot
jetsonMCP
ajeetraina/jetsonMCP
An MCP server that connects AI assistants to NVIDIA Jetson Nano Super systems for comprehensive edge computing management, AI workload optimization, and system administration.
Install
Client configuration
{
"mcpServers": {
"jetsonmcp": {
"command": "python",
"args": [
"-m",
"jetsonmcp.server"
]
}
}
}Environment variables
JETSON_HOSTJETSON_USERNAMEJETSON_PASSWORDLDFLAGS- Author
- @ajeetraina
- Category
- Home Automation & IoT, AI Chatbot
- Updated
- Oct 6, 2026
About jetsonMCP
JetsonMCP enables AI assistants like Claude to help configure and manage Jetson Nano systems through SSH connections. From AI model deployment to system optimization - ask questions in natural language instead of learning complex CUDA and Linux commands.
Features
CUDA Toolkit Integration - Automatic CUDA environment setup and management
JetPack Management - SDK updates, component installation, and version control
AI Framework Support - TensorFlow, PyTorch, OpenCV, TensorRT optimization
Model Deployment - Automated model conversion, optimization, and serving
Power Management - Dynamic power mode switching (10W/5W/MAXN)
Thermal Management - Temperature monitoring with automatic throttling
GPU Monitoring - Memory usage, utilization, and performance metrics
Fan Control - Custom fan curves and cooling optimization
NVIDIA Docker - GPU-accelerated container runtime management
Edge Kubernetes - K3s deployment for distributed AI workloads
Tools (12)
manage_ai_workloads
Model deployment, inference optimization, CUDA management
manage_jetpack
JetPack SDK installation, updates, component management
manage_frameworks
TensorFlow, PyTorch, OpenCV, TensorRT installation
manage_hardware
Power modes, temperature monitoring, fan control, GPIO
manage_performance
CPU/GPU governors, frequency scaling, thermal management
manage_storage
SSD optimization, swap configuration, disk management
manage_containers
Docker management, NVIDIA runtime, GPU acceleration
manage_orchestration
Kubernetes/K3s deployment, edge computing setup
manage_registry
Private registry setup, multi-arch image management
manage_system
Package management, updates, service control, networking
manage_security
Firewall, SSH keys, user management, system hardening
manage_monitoring
System metrics, logging, alerting, remote monitoring
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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