• DATASETS
  • TRIGGERS
  • BOARDS
  • HUMAN

How to audit datasets and alerts with your AI

Connect Honeycomb to your AI client once. From there, your agent can map out your telemetry setup and find where your alerting logic is getting messy.

Ask AI about this page

Short answer

How can I audit my Honeycomb telemetry and alerts?

Your AI uses the Honeycomb MCP to pull your datasets, triggers, and team boards into its context. It then identifies overlapping alerts, unused datasets, or disorganized dashboards. You get a clear map of your observability footprint.

Audit outcomes.

What your audit uncovers.

The AI organizes your telemetry data into these specific areas.

DATASETS

Identify unused data

The AI lists every dataset in your account. It helps you spot old or redundant telemetry that's just sitting there.

TRIGGERS

Clean up alerting

Your agent reviews all active triggers. It finds duplicate alerts or logic that's firing too often without adding value.

BOARDS

Organize dashboards

The AI looks through your shared team boards. It helps you see which visualizations are actually being used.

HUMAN

Final decisions

The AI flags the issues, but you decide which triggers to delete or which datasets to archive. You take the final action.

The workflow

What your AI does when the audit starts.

The AI moves through your Honeycomb environment to build a complete picture of your observability state.

  1. Map the data

    The agent pulls a full list of your telemetry sources to understand what is being collected.

    list_datasets

  2. Check alert logic

    It scans your active triggers to find patterns in how you are being notified of issues.

    list_triggers

  3. Review team visibility

    The AI inspects your Honeycomb boards to see how the team visualizes this data.

    list_honeycomb_boards

  4. Verify ownership

    It pulls team details to ensure the right people are mapped to the right telemetry assets.

    get_team_details

Try it

Copy these to start.

Use these prompts to kick off your audit.

Starting points

These are starting points. Swap out the specific names for your own datasets or triggers.

Honeycomb Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ezx3V1wqKIj03Mpp0VSR1HqDgg5PggVT54nkjF06/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Honeycomb capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "honeycomb-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ezx3V1wqKIj03Mpp0VSR1HqDgg5PggVT54nkjF06/mcp"
    }
  }
}
Copy into chat04

  • List all my Honeycomb datasets and tell me which ones look redundant.

  • Show me all active triggers and find any that might be overlapping.

  • Review my Honeycomb boards and tell me which ones are shared with the team.

  • Get my team details and summarize who has access to our telemetry.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Honeycomb once, then ask.

Just click the link to connect your account. Your credentials stay encrypted, and you can start chatting with your AI immediately.

Connect Honeycomb to your AI

FAQ

How the audit behaves

  • 01

    Can the AI delete my triggers for me?

    No. The AI can only read your triggers and suggest changes. You must manually delete or modify them in Honeycomb.

  • 02

    Can the AI create new dashboards?

    No. This MCP is for auditing and reading your existing structure. It cannot create new boards or datasets.

  • 03

    Does the AI see my actual trace data?

    No. The AI only sees the metadata, such as lists of datasets, triggers, and boards.

  • 04

    How does the AI know which alerts are redundant?

    It compares the logic and parameters of your existing triggers to find matches or near-matches.

  • 05

    Can I use this with any AI client?

    Yes, as long as the client supports the Model Context Protocol (MCP).

  • More questions about Honeycomb? The Connector page answers them. See everything the Honeycomb Connector can do

Connect Honeycomb to Claude, Cursor, ChatGPT & more