- VISUAL
- CONTEXT
- HISTORY
- HUMAN
Short answer
How can I add deployment markers to Honeycomb using AI?
You tell your AI client when an event happened, and it places a marker on your timeline. This links code changes or outages to your telemetry data. You'll see the specific outcomes below.
Visual outcomes.
Where your events land.
Markers turn raw telemetry into a clear timeline of system changes.
VISUAL
Timeline annotations
The AI places markers on your Honeycomb charts. You see exactly where a deployment landed relative to your error rates.
CONTEXT
Event mapping
By marking specific timestamps, you link system behavior to real-world changes. This makes identifying root causes much faster.
HISTORY
Marker visibility
You can pull a list of existing markers to see what has already been documented. This prevents duplicate entries for the same event.
HUMAN
Manual oversight
The AI handles the placement, but you decide which events are important. You maintain full control over your data's narrative.
The workflow
What your AI does when <the thing arrives>.
The AI acts as a bridge between your chat commands and your Honeycomb datasets.
Locate datasets
The AI looks through your available Honeycomb datasets to find the right place to add information.
list_datasetsCheck existing markers
It checks what is already marked on your timeline so you don't overlap or miss context.
list_markersCreate marker
Once you confirm the event, the AI writes the marker to the specific dataset you requested.
create_markerVerify markers
The AI checks the marker list again to ensure the new annotation is live on your timeline.
list_markers
Try it
Copy these to start.
Use these prompts to begin annotating your timelines.
Starting points
Swap out the dataset names and event descriptions with your actual Honeycomb details.
Honeycomb Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ezx3V1wqKIj03Mpp0VSR1HqDgg5PggVT54nkjF06/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 — Honeycomb capabilities are ready to use.
{
"mcpServers": {
"honeycomb-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ezx3V1wqKIj03Mpp0VSR1HqDgg5PggVT54nkjF06/mcp"
}
}
}Add a marker to the 'production-api' dataset for the deployment that happened at 10:15 AM.
List all markers currently in the 'frontend-latency' dataset.
Create a marker in 'auth-service' labeled 'Database Outage' for 2:00 PM today.
Show me all the markers in my 'web-server' dataset so I can see recent changes.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Honeycomb once, then ask.
One connection gives your AI access to your Honeycomb datasets. Your credentials stay encrypted and secure.
Connect Honeycomb to your AIFAQ
How this task behaves.
- 01
Can the AI delete markers I've already made?
No. The AI can only create or list markers. You must manage deletions manually in the Honeycomb UI.
- 02
Does the AI change my actual telemetry data?
No. The AI only adds markers to the timeline. It cannot modify your logs, traces, or spans.
- 03
Can I mark an event if I don't know the exact dataset name?
Yes. You can ask the AI to list your datasets first so it can find the right one for you.
- 04
Will the AI automatically mark every deployment it sees?
No. The AI only creates markers when you explicitly ask it to via a prompt.
- 05
Can the AI see my Honeycomb dashboard layouts?
No. The AI interacts with the data and markers via the API, not by looking at your visual dashboard settings.
More questions about Honeycomb? The Connector page answers them. See everything the Honeycomb Connector can do
Connect Honeycomb to Claude, Cursor, ChatGPT & more
