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pasinskim/mender-mcp
Model Context Protocol (MCP) server for seamless Mender IoT platform integration with AI assistants.
pip install pytest{
"mcpServers": {
"mender": {
"command": "mcp-server-mender",
"args": [
"--server-url",
"https://hosted.mender.io"
],
"env": {
"MENDER_ACCESS_TOKEN": "<MENDER_ACCESS_TOKEN>"
}
}
}
}MENDER_ACCESS_TOKENMCP_LOG_LEVELThe Mender MCP Server enables AI assistants like Claude Code to interact directly with your Mender IoT platform for device management, deployment tracking, and system monitoring. Through natural language commands, you can manage your IoT devices, monitor deployments, and troubleshoot issues without leaving your development environment.
Device Management: List, filter, and monitor IoT device status across your fleet
Deployment Tracking: Monitor deployment progress, success rates, and failure analysis
Real-time Monitoring: Check device inventory, hardware specs, and system attributes
Deployment Logs: Access detailed logs for failed deployments and troubleshooting
Release Management: Browse releases, artifacts, and compatibility information
Enterprise Security: Token-based authentication with comprehensive input validation
Read-only Operations: Safe monitoring without risk of accidental device control
Multi-platform Support: Works with hosted Mender and on-premise installations
get_device_status
Get current status of a specific device
get_deployment_status
Check deployment progress and details
get_deployment_device_log
Get deployment logs for a specific device
get_deployment_logs
Get deployment logs for all devices in a deployment
get_release_status
Get detailed information about a specific release
get_device_inventory
Get complete inventory attributes for a device
get_inventory_groups
Get all device inventory groups
get_audit_logs
Get Mender audit logs with comprehensive filtering (user, action, date range, object type)
Details on this page are taken from the project's README. Open README
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