MCP

https://api.croma.run/mcp

import { experimental_createMCPClient as createMCPClient, generateText } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";
import { anthropic } from "@ai-sdk/anthropic";

const mcp = await createMCPClient({
  transport: new StreamableHTTPClientTransport(
    new URL("https://api.croma.run/mcp"),
    {
      requestInit: {
        headers: { Authorization: `Bearer ${process.env.CROMA_API_KEY}` },
      },
    },
  ),
});

// Every data source, exposed as a tool the model can call.
const tools = await mcp.tools();

const { text } = await generateText({
  model: anthropic("claude-opus-4-8"),
  tools,
  // Let the model call tools and then answer. Consult the AI SDK docs for the
  // multi-step setting in your version (`stopWhen` / `maxSteps`).
  prompt: "Consulta los antecedentes de la Policía Nacional para la cédula 1234567890.",
});

await mcp.close();
console.log(text);