How does the server connect to Meshtastic devices?

The server offers flexible connection options, allowing you to connect to your Meshtastic devices via Serial (USB), TCP/IP (Wi-Fi), or Bluetooth, ensuring broad compatibility with different setups.

What is the Meshtastic MCP Server?

The Meshtastic MCP Server is a Model Context Protocol (MCP) server that enables AI assistants (like Claude, ChatGPT, Windsurf) to seamlessly interact with Meshtastic mesh networks for off-grid communication and device management using natural language.

What can I do with AI and Meshtastic using this server?

You can use AI to send and receive text messages and high-priority alerts, query network information (nodes, topology, telemetry), share GPS positions, manage waypoints, and control device settings like channels, owner details, and reboots.

Which AI assistants are compatible with this tool?

This server is compatible with various AI assistants and IDEs that support the Model Context Protocol (MCP), including Claude Desktop, Windsurf IDE, Cursor IDE, ChatGPT Desktop, and other generic MCP clients.

Meshtastic MCP Server: AI for Off-Grid Communication

This Model Context Protocol (MCP) server bridges the gap between AI assistants like Claude and Meshtastic mesh networks, providing a powerful interface for off-grid communication. It allows AI models to manage Meshtastic devices, send and receive messages, query network topology, share location information, and monitor telemetry, all by transforming natural language commands into actions on the mesh. It supports various connection types including Serial, TCP/IP, and Bluetooth, integrating seamlessly into popular AI-powered clients and IDEs.

주요 기능

01Share GPS positions, create, and delete waypoints (points of interest)

020 GitHub stars

03Query node information, network topology, perform traceroutes, and monitor telemetry data

04Manage device settings, including listing channels, retrieving metadata, setting owner details, and rebooting devices

05Send and receive text messages, including high-priority alerts, and retrieve message history

06Connect to Meshtastic devices via Serial, TCP/IP, or Bluetooth and scan for nearby devices

사용 사례

01Integrating Meshtastic device control into AI workflows for off-grid communication via natural language commands

02Automating network monitoring, analysis, and data retrieval from Meshtastic nodes

03Developing AI applications that leverage mesh networking for location sharing, messaging, and environmental sensing