- HEALTH
- USAGE
- INVENTORY
- ACTION
Short answer
How can I audit my tag fleet performance using AI?
Your agent pulls real-time activity data and verifies API connectivity for every sensor in your deployment. You get a clear view of which devices are active and which need attention. This breakdown shows you how to move from raw data to actionable insights.
Deployment outcomes.
Where your data lands.
The AI organizes your sensor information into these specific categories.
HEALTH
Connectivity status
The agent checks if your sensors are online. You get a direct report on which devices are active or offline.
USAGE
Activity analytics
Your agent pulls usage patterns from the fleet. You see how often tags are reporting data.
INVENTORY
Tag lists
The AI pulls a full list of your deployed tags. This helps you keep track of your total sensor count.
ACTION
Human intervention
The AI flags broken connections or dead tags. You decide which physical sensors need manual inspection or replacement.
The workflow
What your AI does when the data arrives.
The agent acts as your eyes on the ground, pulling data from the Kitetags API.
Identify the fleet
The agent starts by pulling a complete list of all sensors in your deployment.
list_tagsCheck connection status
It verifies that the API is communicating with your hardware to ensure no sensors are silent.
check_kitetags_statusAnalyze activity
The agent looks at the actual data patterns to find irregularities in sensor reporting.
get_tag_analyticsReport findings
The agent summarizes the health of the fleet and highlights specific tags that need your attention.
get_tag_analyticscheck_kitetags_status
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
Swap the bracketed text for your specific tag IDs or deployment names.
Kitetags Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_BCmyWMVxJo9a4szzumI4Nc1EOlSuxGpcJt5uS5Rj/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Kitetags capabilities are ready to use.
{
"mcpServers": {
"kitetags-mcp": {
"url": "https://edge.vinkius.com/vk_preview_BCmyWMVxJo9a4szzumI4Nc1EOlSuxGpcJt5uS5Rj/mcp"
}
}
}List all my tags in the North Warehouse deployment.
Check the connectivity status for tag ID 5509.
Get the activity analytics for my entire sensor fleet.
Which tags in my deployment have low activity levels?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Kitetags once, then ask.
One link connects your agent to the Kitetags API. Your credentials stay encrypted, and you can start auditing immediately.
Connect Kitetags to your AIFAQ
How this task behaves.
- 01
Can the AI fix a broken sensor?
No. The AI can only report that a sensor is offline or has poor connectivity. You must physically inspect or repair the hardware.
- 02
Can the AI change my tag settings?
No. The tools only allow the AI to read analytics, list tags, and check status. It cannot modify sensor configurations.
- 03
Does the AI delete any tag data?
No. The AI only pulls data from the Kitetags API. It has no capability to delete or overwrite your sensor records.
- 04
How does the AI know which tags are offline?
It uses the status check tool to see if the API can confirm a heartbeat from each specific tag.
- 05
Can I audit specific groups of tags?
Yes. Once the agent lists your tags, you can ask it to focus on specific IDs or subsets of your deployment.
More questions about Kitetags? The Connector page answers them. See everything the Kitetags Connector can do
Connect Kitetags to Claude, Cursor, ChatGPT & more
