Examples¶

This section contains ready-to-deploy examples demonstrating various AI frameworks and tools on Amazon EKS. Each example provides practical implementations that you can use as a starting point for your own applications.

MCP Server¶

Model Context Protocol (MCP) servers provide standardized interfaces for AI models to interact with external tools and data sources.

• Calculator MCP Server - Basic arithmetic operations exposed via FastMCP protocol

AI Agent Frameworks¶

Examples showcasing different AI agent frameworks for building conversational AI applications with tool usage capabilities.

Strands Agents¶

• Calculator Agent - Agent using Strands framework with MCP or Python tools for arithmetic operations

Agno¶

• Calculator Agent - Agent using Agno framework with memory management and MCP tool integration

OpenClaw¶

• Document Writer Agent - Autonomous documentation agent that clones repos, analyzes code, and commits documentation
• DevOps Agent - Interactive cluster management assistant with kubectl, helm, and AWS CLI access

Quick Start¶

All examples can be installed using the CLI:

./cli <category> <example> install

# Examples:
./cli mcp-server calculator install
./cli strands-agents calculator-agent install
./cli agno calculator-agent install
./cli openclaw doc-writer install
./cli openclaw devops-agent install

Prerequisites¶

Most examples require:

• EKS cluster with configured kubectl access
• LiteLLM AI gateway (./cli ai-gateway litellm install)
• Open WebUI (./cli gui-app openwebui install) for interactive testing

Check each example's documentation for specific requirements and configuration options.