MCP Prompt Scenarios
This page provides a collection of practical prompt scenarios for using the OpenChoreo MCP server with AI assistants. Each scenario is a hands-on guide that walks you through real-world tasks using natural language prompts.
Prerequisites
Before trying these scenarios:
- Configure your MCP server — follow the Configuring MCP Servers with AI Assistants guide
- Review available tools — see the MCP Servers Reference for the full list of MCP tools
Scenarios
1. Getting Started
Learn the basics of connecting your AI assistant to OpenChoreo and performing simple operations like listing namespaces and projects.
Time: ~2 minutes
2. Service Deployment
Deploy a complete service from source code to production using the OpenChoreo MCP server. Choose between a step-by-step guided walkthrough or a natural conversation-based deployment.
Time: ~15-20 minutes
3. Log Analysis & Debugging
Debug a cascading failure in the GCP Microservices Demo (Online Boutique) application. You'll intentionally break the product catalog service by scaling it to zero replicas, then use AI-assisted observability — logs, distributed traces, and deployment inspection — to diagnose and fix the issue across service boundaries.
Key MCP tools: list_components, query_component_logs, query_traces, query_trace_spans, get_release_binding, update_release_binding
Time: ~10 minutes
4. Build Failure Diagnosis
Debug a Docker build failure in the Go Greeter service. You'll trigger a build with a misconfigured Dockerfile path, then use AI-assisted workflow inspection and log analysis to diagnose the root cause, compare with the previous successful build, and apply the fix.
Key MCP tools: list_workflow_runs, get_workflow_run, query_workflow_logs, create_workflow_run
Time: ~10 minutes
5. Resource Optimization
Detect and fix over-provisioned deployments in the GCP Microservices Demo (Online Boutique). You'll intentionally allocate excessive CPU and memory to several services, then use AI-assisted analysis to compare allocation vs actual usage, get right-sizing recommendations, and apply optimized configurations.
Key MCP tools: list_components, list_release_bindings, get_release_binding, query_resource_metrics, update_release_binding
Time: ~10 minutes