SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison MCP Server for LangChain 4 tools — connect in under 2 minutes

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "sec-edgar-financials-revenue-income-assets-eps-industry-comparison": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())