- READ
- MAP
- AUDIT
- HUMAN
Short answer
How can I check feature flag status with my AI?
Your agent uses LaunchDarkly tools to look up specific flags and their current state in any environment. You get instant status updates for your toggles across production, staging, or development. This breakdown shows you how to pull that data.
The outcomes
What you get from this connection
The AI handles the data fetching so you can focus on deployment decisions.
READ
Instant flag status
The AI pulls the exact state of a toggle. You get a clear answer on whether a feature is on or off.
MAP
Environment overview
The agent lists your available deployment targets. You'll know exactly which environments you can query.
AUDIT
Cross-environment checks
Compare how a flag behaves in staging versus production. The AI fetches data from different environments to show the difference.
HUMAN
Manual flag changes
The AI only reads flag data. You still need to use the LaunchDarkly dashboard if you want to flip a switch or change a rule.
The workflow
What your AI does when the request arrives.
Your agent acts as a bridge between your chat and your LaunchDarkly project.
Identify environments
The agent looks up your available deployment targets to ensure it's querying the right place.
list_environmentsLocate the flag
The agent finds the specific toggle you're asking about within the selected environment.
get_environmentFetch status
The agent pulls the current state of the toggle to see if it's active.
get_feature_flagReport findings
The agent translates the raw flag data into a plain English answer for you.
get_feature_flag
Try it
Copy these to start.
Use these prompts to begin interacting with your LaunchDarkly data.
Starting points
Swap out the bracketed text with your actual flag names or environment IDs.
LaunchDarkly Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_q4tbtN6VOQiJj3bWOc42Ne8iFwrDWYBf9vVkTths/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 — LaunchDarkly capabilities are ready to use.
{
"mcpServers": {
"launchdarkly-mcp": {
"url": "https://edge.vinkius.com/vk_preview_q4tbtN6VOQiJj3bWOc42Ne8iFwrDWYBf9vVkTths/mcp"
}
}
}Is the 'new-checkout-flow' flag enabled in my production environment?
List all my available environments in LaunchDarkly.
What is the status of the 'beta-ui-test' toggle in staging?
Check if the 'dark-mode-feature' is active in the development environment.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect LaunchDarkly once, then ask.
One connection gives your agent access to your flags. Your credentials stay encrypted and managed on our side.
Connect LaunchDarkly to your AIFAQ
How this task behaves
- 01
Can the AI turn a feature flag on or off?
No. The AI can only read the current status of your flags. You must use the LaunchDarkly UI to change any settings.
- 02
Can I ask about flags in environments that don't exist?
No. The AI can only query environments that it can find using the list tools.
- 03
Does the AI see my API keys?
No. Your credentials are encrypted and managed by Vinkius. Your AI client only uses the tools provided through the connection.
- 04
Can the AI create new feature flags?
No. This connection is limited to reading existing flag and environment data.
- 05
How does the AI know which environment to check?
You specify the environment in your prompt, or the AI will use the list of available environments to find the right one.
More questions about LaunchDarkly? The Connector page answers them. See everything the LaunchDarkly Connector can do
Connect LaunchDarkly to Claude, Cursor, ChatGPT & more
