{
  "name": "mcp_ai_agent_workflow",
  "version": 1,
  "schemaVersion": 2,
  "tasks": [
    {
      "name": "list_available_tools",
      "taskReferenceName": "discover_tools",
      "type": "LIST_MCP_TOOLS",
      "inputParameters": {
        "mcpServer": "http://localhost:3001/mcp"
      }
    },
    {
      "name": "decide_which_tools_to_use",
      "taskReferenceName": "plan",
      "type": "LLM_CHAT_COMPLETE",
      "inputParameters": {
        "llmProvider": "anthropic",
        "model": "claude-3-5-sonnet-20241022",
        "messages": [
          {
            "role": "system",
            "message": "You are an AI agent. Available tools: ${discover_tools.output.tools}. User wants to: ${workflow.input.task}"
          },
          {
            "role": "user",
            "message": "Which tool should I use and what parameters? Respond with JSON: {method: string, arguments: object}"
          }
        ],
        "temperature": 0.1,
        "maxTokens": 500
      }
    },
    {
      "name": "execute_tool",
      "taskReferenceName": "execute",
      "type": "CALL_MCP_TOOL",
      "inputParameters": {
        "mcpServer": "http://localhost:3001/mcp",
        "method": "${plan.output.result.method}",
        "arguments": "${plan.output.result.arguments}"
      }
    },
    {
      "name": "summarize_result",
      "taskReferenceName": "summarize",
      "type": "LLM_CHAT_COMPLETE",
      "inputParameters": {
        "llmProvider": "openai",
        "model": "gpt-4o-mini",
        "messages": [
          {
            "role": "user",
            "message": "Summarize this result for the user: ${execute.output.content}"
          }
        ],
        "maxTokens": 200
      }
    }
  ]
}