LangChain Integration

pip install langchain-mcp-adapters langchain-openai langchain

import os
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langchain.agents import create_agent

async def main():
    mcp_client = MultiServerMCPClient({
        "gdelt-cloud": {
            "transport": "streamable_http",
            "url": "https://gdelt-cloud-mcp.fastmcp.app/mcp",
            "headers": {
                "Authorization": f"Bearer {os.environ['GDELT_API_KEY']}"
            },
        }
    })

    tools = await mcp_client.get_tools(server_name="gdelt-cloud")
    messages = await mcp_client.get_prompt("gdelt-cloud", "gdelt_research_system_prompt")
    gdelt_prompt = "\n\n".join(str(msg.content) for msg in messages)

    agent = create_agent(
        model=ChatOpenAI(model="gpt-5.4-mini", temperature=0),
        tools=tools,
        system_prompt=gdelt_prompt,
    )

    result = await agent.ainvoke({
        "messages": [{
            "role": "user",
            "content": "Show protests in India by day over the past month, then drill into the most significant recent Events."
        }]
    })
    print(result["messages"][-1].content)

asyncio.run(main())

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