A comprehensive toolset for interacting with MeshMonitor REST APIs to monitor, analyze, and manage Meshtastic mesh networks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install meshmonitor-api
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install meshmonitor-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MeshMonitor API Integration?
The MeshMonitor skill provides a robust interface for developers and network operators to interact with MeshMonitor instances. It leverages the REST API to extract deep insights into mesh states, node health, and network-wide statistics. By integrating this into Openclaw Skills, users can automate mesh reporting, visualize topology, and monitor telemetry data in real-time through a structured Python-based helper CLI.
This skill is designed for technical users who need to programmatically access Meshtastic data without manually navigating web dashboards. It handles the complexities of Bearer token authentication and provides a standardized way to query history, traceroutes, and packet logs directly from a MeshMonitor backend.
MeshMonitor API Integration Use Cases
- Generating comprehensive mesh health summaries and node inventories.
- Troubleshooting network connectivity, routing, and node visibility issues.
- Auditing telemetry history and power levels for solar-powered nodes.
- Sending messages and inspecting real-time mesh traffic via API commands.
- Developing reusable automation scripts for Meshtastic network management and reporting.
How MeshMonitor API Integration Works
- Establish a secure connection to the MeshMonitor instance using a Bearer token and base URL.
- Discover available endpoints by inspecting the live OpenAPI/Swagger documentation at runtime.
- Perform read-heavy discovery to identify active nodes and populated data features on the specific instance.
- Execute specific commands through the provided helper script to fetch telemetry, messages, or traceroutes.
- Process raw API responses into structured, actionable reports for network health analysis.
MeshMonitor API Integration Setup
To begin using this skill within Openclaw Skills, ensure you have your MeshMonitor instance URL and a valid Bearer token.
# Test connectivity and authentication
python3 scripts/meshmonitor_api.py --base-url http://HOST:PORT --token 'YOUR_TOKEN' info
# Generate a quick health summary of the mesh
python3 scripts/meshmonitor_api.py --base-url http://HOST:PORT --token 'YOUR_TOKEN' health-summary
# Explore the live API documentation
python3 scripts/meshmonitor_api.py --base-url http://HOST:PORT --token 'YOUR_TOKEN' docs
MeshMonitor API Integration Data Schema & Taxonomy
The skill organizes Meshtastic data into logical groups for efficient querying and reporting:
| Data Group | Description | Key Metrics |
|---|---|---|
| Nodes | Inventory of mesh participants | Node ID, position, hardware type, last seen |
| Telemetry | Environmental and device stats | Battery voltage, solar data, air quality |
| Messages | Mesh communication history | Channel ID, sender, timestamp, packet payload |
| Network | Topology and health stats | Traceroutes, hop counts, traffic density, uptime |
MeshMonitor API Integration Advanced Features
- Automated health summaries providing an immediate snapshot of mesh performance.
- Deep node reporting including position history and signal metrics for individual hardware units.
- Remote message injection allowing for API-driven communication across the mesh.
- Advanced traffic analysis with configurable time filters (since/before) and result limits.
- Integrated solar forecasting and history views for remote node power management.
SKILL.md
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