Advertise
MCP.so
Sign In

Jetson MCP Server

@Zalmotek

Repository

Basic information

Category

Other

Transports

stdio

Author

Zalmotek

About Jetson MCP Server

A MCP server for using natural language to monitor and remote control a Nvidia Jetson board

Jetson MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "jetson-mcp": {
      "command": "python",
      "args": [
        "app/main.py"
      ]
    }
  }
}

Jetson MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is jetson-mcp?

jetson-mcp is an MCP (Model Context Protocol) server that lets you use natural language to monitor and remotely control a Nvidia Jetson board from clients on the same network. It exposes tools over SSE (Server-Sent Events) transport, reading hardware info from /etc/nv_boot_control.conf and software info from /etc/nv_tegra_release and /proc/version. It is built with the FastMCP library.

How to use jetson-mcp?

Clone the repo on the Jetson, run ./install.sh to set up a Python virtual environment, then run sudo ./setup_service.sh to create a systemd service listening on port 8000. Start the service with sudo systemctl start jetson-mcp.service. From a remote MCP client, connect to the SSE endpoint at http://<jetson_ip>:8000/sse.

Key features of jetson-mcp

  • Provides MCP tools via SSE transport on the network.
  • get_jetson_hw_info: reads module/carrier board info from config file.
  • get_jetson_sw_info: reads Jetpack version and Linux kernel version.
  • Includes scripts for easy installation and systemd service setup.
  • Requires firewall to allow incoming TCP on port 8000.

Use cases of jetson-mcp

  • Remotely query Jetson hardware configuration from a desktop AI client.
  • Check Jetpack and kernel version on a Jetson without SSH or terminal access.
  • Integrate Jetson monitoring into an LLM-powered automation workflow.
  • Prototype edge AI applications with natural language control over the board.

Frequently asked questions

1

How does jetson-mcp expose its tools?

It uses SSE (Server-Sent Events) transport on port 8000, not the stdio transport typical of local MCP servers. Clients connect via `http://<jetson_ip>:8000/sse`.

2

What are the runtime dependencies?

The server runs in a Python virtual environment created by `install.sh`. It requires the FastMCP library (installed from `requirements.txt`) and reads system files that exist on a standard Nvidia Jetson Linux installation.

3

Can I use jetson-mcp with Cursor?

Cursor’s `mcp.json` is designed for local `stdio` transport, so connecting to this networked SSE server may require a proxy or different configuration steps. Consult your client’s documentation for SSE endpoint support.

4

How do I start jetson-mcp automatically on boot?

The `setup_service.sh` script creates and enables a systemd service file (`/etc/systemd/system/jetson-mcp.service`). After running `sudo systemctl enable jetson-mcp.service`, the server starts automatically on boot.

5

What port does jetson-mcp use and how do I configure firewall?

The server listens on TCP port 8000 by default. If you use `ufw`, run `sudo ufw allow 8000/tcp` to allow incoming connections from LAN clients.

Comments

More Other MCP servers

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K
Advertise