ClickHouse MCP 서버를 사용하여 PydanticAI 에이전트를 구축하는 방법.

pip install -q --upgrade pip
pip install -q "pydantic-ai-slim[mcp]"
pip install -q "pydantic-ai-slim[anthropic]" # 다른 LLM 제공업체를 사용하는 경우 적절한 패키지로 대체하십시오

import os, getpass
os.environ["ANTHROPIC_API_KEY"] = getpass.getpass("Enter Anthropic API Key:")

env = {
    "CLICKHOUSE_HOST": "sql-clickhouse.clickhouse.com",
    "CLICKHOUSE_PORT": "8443",
    "CLICKHOUSE_USER": "demo",
    "CLICKHOUSE_PASSWORD": "",
    "CLICKHOUSE_SECURE": "true"
}

from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStdio
from pydantic_ai.messages import ToolCallPart, ToolReturnPart

server = MCPServerStdio(
    'uv',
    args=[
        'run',
        '--with', 'mcp-clickhouse',
        '--python', '3.13',
        'mcp-clickhouse'
    ],
    env=env
)
agent = Agent('anthropic:claude-sonnet-4-0', mcp_servers=[server])

async with agent.run_mcp_servers():
    result = await agent.run("Who's done the most PRs for ClickHouse?")
    print(result.output)