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Project Management
Feature Flag Management
Manage feature flags and progressive rollouts from your AI coding agent.
Claude Code Cursor Copilot Windsurf
Overview
Feature flag management enables controlled rollouts, A/B testing, and kill switches for new features. The LaunchDarkly MCP server allows AI agents to create, toggle, and manage feature flags directly from the development environment.
Agents can create new flags when implementing features, set targeting rules for gradual rollouts, and monitor flag evaluation metrics. This integrates feature management into the development workflow, ensuring flags are created alongside the code that uses them.
The integration supports advanced targeting including user segments, percentage rollouts, and multivariate flags. Teams can manage their entire feature lifecycle from development to full rollout without leaving their coding environment.
Agents can create new flags when implementing features, set targeting rules for gradual rollouts, and monitor flag evaluation metrics. This integrates feature management into the development workflow, ensuring flags are created alongside the code that uses them.
The integration supports advanced targeting including user segments, percentage rollouts, and multivariate flags. Teams can manage their entire feature lifecycle from development to full rollout without leaving their coding environment.
Who Is This For?
- Create feature flags alongside new feature code
- Configure gradual rollout percentages
- Toggle flags for debugging in specific environments
- Archive stale feature flags after full rollout
Installation
Setup for Claude Code
npx @anthropic-ai/claude-code mcp add launchdarkly -- npx -y @launchdarkly/mcp-server Configuration
// .mcp.json
{
"mcpServers": {
"launchdarkly": {
"command": "npx",
"args": ["-y", "@launchdarkly/mcp-server"],
"env": { "LAUNCHDARKLY_API_KEY": "<your-api-key>" }
}
}
} Explore AI Tools
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