Skip to main content

DevCycle MCP User Guides

Learn how to effectively use the DevCycle MCP Server with AI assistants for feature flag management, testing, and monitoring.

Best Practices​

Follow these best practices for the best results with the DevCycle MCP server.

1. Production Safety​

  • Tools marked ⚠️ can affect production - confirm before proceeding
  • Tools marked ⚠️⚠️ are destructive - require extra confirmation
  • Test in development/staging environments first

2. Naming Conventions​

  • Use lowercase-kebab-case for feature and variable keys
  • Pattern: ^[a-z0-9-_.]+$ (max 100 characters)
  • Be descriptive: checkout-optimization vs flag1

3. Self-Targeting Best Practices​

  • Clear overrides after testing sessions
  • Use meaningful user IDs for team collaboration
  • Document override purposes

4. Audit and Compliance​

  • Use get_feature_audit_log_history for compliance tracking
  • Tag features appropriately for organization
  • Review changes regularly through audit logs

Example Usage​

The following are just a few examples of ways you can use the DevCycle MCP server within your workflow with AI assistants.

Creating Feature Flags​

You: "Create a feature flag for the new header design"
AI: I'll create a feature flag called 'new-header-design' with:
- Boolean variable 'enabled' (default: false)
- Available in all environments (development, staging, production)
- Targeting disabled initially
- Ready for gradual rollout when you're ready

Managing Targeting​

You: "Enable the checkout-optimization flag for 25% of users in production"
AI: ✅ Updated 'checkout-optimization' targeting in production:
- Audience: All users
- Rollout: 25% of matching users
- Environment: production
- Monitoring enabled for performance metrics

Self-Targeting for Testing​

You: "Set up my identity to test the premium user experience"
AI: I'll configure your DevCycle identity and set overrides so you see the premium variations...

Analytics and Monitoring​

You: "Show me evaluation metrics for the mobile-redesign feature over the last week"
AI: 📊 mobile-redesign Evaluation Metrics (Last 7 Days):
- Total Evaluations: 45,230
- Desktop: 28,450 (63%)
- Mobile: 16,780 (37%)

For technical details and complete tool reference, see the MCP Reference documentation.