pip install langchain-mcp-adapters langchain langgraph langchain-anthropic

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

async def main():
    client = MultiServerMCPClient({
        "omni-datastream": {
            "transport": "streamable_http",
            "url": "https://api.secapi.ai/mcp",
            "headers": {"x-api-key": os.environ["OMNI_DATASTREAM_API_KEY"]},
        }
    })
    tools = await client.get_tools()
    agent = create_agent("anthropic:claude-sonnet-4-5", tools)
    result = await agent.ainvoke({"messages": [("user", "Show me Apple's latest 8-K filing.")]})
    print(result["messages"][-1].content)

asyncio.run(main())

npm install @langchain/mcp-adapters @langchain/core @langchain/anthropic @langchain/langgraph langchain

import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { ChatAnthropic } from "@langchain/anthropic";
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const client = new MultiServerMCPClient({
  "omni-datastream": {
    transport: "streamable_http",
    url: "https://api.secapi.ai/mcp",
    headers: { "x-api-key": process.env.OMNI_DATASTREAM_API_KEY! },
  },
});
const tools = await client.getTools();
const agent = createReactAgent({ llm: new ChatAnthropic({ model: "claude-sonnet-4-5" }), tools });
const result = await agent.invoke({ messages: [{ role: "user", content: "Show me Apple's latest 8-K filing." }] });
console.log(result.messages.at(-1)?.content);