• DATA
  • LISTS
  • ANALYSIS
  • HUMAN

How to monitor experiment metrics with your AI

Connect LaunchDarkly to your agent to pull live experiment data without leaving your chat interface.

Ask AI about this page

Short answer

How can I check my A/B test metrics using AI?

Your agent uses LaunchDarkly tools to fetch specific metric values and list available engagement data for your active experiments. You'll get real-time tracking parameters and performance numbers through a simple chat command. This setup gives you immediate visibility into how your feature flags are performing.

Data outcomes

Where your data lands.

The AI pulls specific data points from your LaunchDarkly environment.

DATA

Live metric values

The agent uses the available tools to pull specific numbers for your active experiments. You get the exact engagement stats you need to judge a test.

LISTS

Available experiment metrics

Your agent can scan your environment to show you which metrics are currently being tracked. This helps you identify the right data points for your analysis.

ANALYSIS

Performance summaries

Once the agent has the data, it can summarize the trends or differences between your test variants. You'll see the impact of your changes in plain text.

HUMAN

Decision making

The AI provides the numbers, but you decide whether to roll out a feature or kill a test. You remain in control of the actual LaunchDarkly flag changes.

The workflow

What your AI does when the data arrives.

The agent acts as a bridge between your chat window and your LaunchDarkly dashboard.

  1. Identify metrics

    The agent looks through your active experiments to find which tracking parameters are available for your current tests.

    list_metrics

  2. Fetch specific values

    After you pick a metric, the agent pulls the current value for that specific data point.

    get_metric

  3. Compare results

    The agent looks at the values for different flag variations to see how they differ.

    get_metric

  4. Report findings

    The agent presents the raw numbers and trends in a readable format for your review.

    list_metricsget_metric

Try it

Copy these to start.

Use these prompts to begin interacting with your LaunchDarkly data.

Starting points

Replace the specific experiment names or metric IDs with your own LaunchDarkly identifiers.

LaunchDarkly Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_q4tbtN6VOQiJj3bWOc42Ne8iFwrDWYBf9vVkTths/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 — LaunchDarkly capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "launchdarkly-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_q4tbtN6VOQiJj3bWOc42Ne8iFwrDWYBf9vVkTths/mcp"
    }
  }
}
Copy into chat04

  • List all the metrics currently being tracked in my LaunchDarkly environment.

  • Get the current value for the conversion_rate metric in my active experiment.

  • What are the tracking parameters for the checkout_flow experiment?

  • Compare the engagement metrics for the new UI flag versus the control group.

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

Start here

Connect LaunchDarkly once, then ask.

Just click the link to authorize the connection. Your credentials stay encrypted and secure, and you can immediately start asking your agent about your experiments.

Connect LaunchDarkly to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my feature flag settings?

    No. The current tools only allow the AI to read and list metrics. You must manually toggle flags in the LaunchDarkly UI.

  • 02

    Does the AI see all my project data?

    The AI only sees the specific metric data provided by the tools you invoke. It cannot browse your entire account unless you ask for specific lists.

  • 03

    Can I use this with Claude or Cursor?

    Yes. Once connected via Vinkius, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 04

    Can the AI create new metrics for me?

    No. The tools are limited to retrieving existing metrics and listing what is already configured in your environment.

  • 05

    How real-time is the data?

    The data is as real-time as your LaunchDarkly environment. The agent fetches the current values at the moment you ask the question.

  • More questions about LaunchDarkly? See everything the LaunchDarkly Connector can do

Connect LaunchDarkly to Claude, Cursor, ChatGPT & more