Connect your AI agent framework to the live web over MCP

import { generateText, stepCountIs } from "ai";
import { createMCPClient, type MCPClient } from "@ai-sdk/mcp";

let mcp: MCPClient | undefined;
try {
  mcp = await createMCPClient({
    transport: {
      type: "http",
      url: "https://mcp.unblockingapi.com/mcp",
      headers: { Authorization: `Bearer ${process.env.UNBLOCKINGAPI_KEY}` },
    },
  });

  const result = await generateText({
    model: "anthropic/claude-sonnet-5.5",
    tools: await mcp.tools(),
    stopWhen: stepCountIs(5),
    prompt: "Get the Google results for 'espresso machine' and list the top five.",
  });
  console.log(result.text);
} finally {
  await mcp?.close();
}

import asyncio, os
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent

async def main():
    client = MultiServerMCPClient({
        "unblockingapi": {
            "transport": "http",
            "url": "https://mcp.unblockingapi.com/mcp",
            "headers": {"Authorization": f"Bearer {os.environ['UNBLOCKINGAPI_KEY']}"},
        }
    })
    tools = await client.get_tools()
    agent = create_agent("anthropic:claude-sonnet-5-5", tools)
    reply = await agent.ainvoke({"messages": "Read https://example.com and summarise it."})
    print(reply["messages"][-1].content)

asyncio.run(main())