{
  "mcpServers": {
    "pica": {
      "command": "npx",
      "args": ["@picahq/mcp"],
      "env": {
        "PICA_SECRET": "your-pica-secret-key"
      }
    }
  }
}

PICA_SECRET=sk_test_...

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

from langchain_anthropic import ChatAnthropic
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent

model = ChatAnthropic(model="claude-haiku-4-5-20251001", streaming=True)

client = MultiServerMCPClient({
    "pica": {
        "command": "npx",
        "args": ["@picahq/mcp"],
        "transport": "stdio",
        "env": {
            "PICA_SECRET": os.environ.get("PICA_SECRET", ""),
            "PATH": os.environ.get("PATH", ""),
            "HOME": os.environ.get("HOME", ""),
        },
    },
})
tools = await client.get_tools()
agent = create_react_agent(model, tools)

# Invoke
result = await agent.ainvoke({"messages": [{"role": "user", "content": "..."}]})

# Or stream events
async for event in agent.astream_events({"messages": messages}, version="v2"):
    kind = event["event"]
    if kind == "on_chat_model_stream":
        content = event["data"]["chunk"].content
        # content may be a list of content blocks (Anthropic models) or a string

if isinstance(content, list):
    text = "".join(
        block.get("text", "") if isinstance(block, dict) else str(block)
        for block in content
    )
elif isinstance(content, str):
    text = content