poml-mcp/client.mjs

MCP server that enhances user prompts using POML-style structure

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";

async function main() {
  const transport = new StdioClientTransport({
    command: process.execPath, // node
    args: ["index.mjs"],
    cwd: process.cwd(),
  });

  const client = new Client({ name: "poml-agentflow-test-client", version: "0.1.0" });
  await client.connect(transport);

  const toolResult = await client.callTool({
    name: "enhance_prompt",
    arguments: {
      user_request: "Escribe un resumen ejecutivo de media página sobre el impacto de POML en flujos de prompting empresariales",
      audience: "Directores de producto",
      style: "Profesional pero claro",
      domain: "IA aplicada a productividad",
      include: ["Beneficios cuantificables", "Riesgos y mitigaciones"],
      constraints: ["Sin datos sensibles", "Referencias si se citan números"],
    },
  });

  // Print textual content for compatibility
  if (Array.isArray(toolResult.content)) {
    for (const part of toolResult.content) {
      if (part.type === "text") console.log(part.text);
    }
  }

  // Print structuredContent if available (preferred)
  if (toolResult.structuredContent) {
    console.log("\n=== structuredContent ===");
    const { enhanced, poml, rendered } = toolResult.structuredContent;
    if (enhanced) {
      console.log("[enhanced]\n" + enhanced);
    }
    if (poml) {
      console.log("\n[poml]\n" + poml);
    }
    if (rendered) {
      console.log("\n[rendered]\n" + rendered);
    }
  }

  await client.close();
}

main().catch((e) => {
  console.error(e);
  process.exit(1);
});