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如何使用 ClickHouse MCP 服务器构建 PydanticAI 代理

在本指南中，您将学习如何构建一个可以使用 ClickHouse 的 SQL 游乐场 与 ClickHouse 的 MCP 服务器 交互的 PydanticAI 代理。

示例笔记本

此示例可以在 示例库 中找到。

先决条件​

  • 您需要在系统上安装 Python。
  • 您需要在系统上安装 pip。
  • 您需要一个 Anthropic API 密钥，或者来自其他 LLM 提供商的 API 密钥。

您可以在 Python REPL 或通过脚本运行以下步骤。

安装库​

通过运行以下命令安装所需的库：

!pip install -q --upgrade pip
!pip install -q "pydantic-ai-slim[mcp]"
!pip install -q "pydantic-ai-slim[anthropic]" # replace with the appropriate package if using a different LLM provider

设置凭证​

接下来，您需要提供您的 Anthropic API 密钥：

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

Enter Anthropic API Key: ········
使用其他 LLM 提供商

如果您没有 Anthropic API 密钥，并且想要使用其他 LLM 提供商， 您可以在 PydanticAI 文档 中找到设置凭证的说明。

接下来，定义连接到 ClickHouse SQL 游乐场所需的凭证：

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

初始化 MCP 服务器和 PydanticAI 代理​

现在配置 ClickHouse MCP 服务器以指向 ClickHouse SQL 游乐场：

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])

向代理提问​

最后，您可以向代理提问：

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

您将收到类似如下的响应：

Based on the data from the ClickHouse GitHub repository, here are the top contributors by number of pull requests created:

**Top contributors to ClickHouse by PRs opened:**

1. **alexey-milovidov** - 3,370 PRs opened
2. **azat** - 1,905 PRs opened  
3. **rschu1ze** - 979 PRs opened
4. **alesapin** - 947 PRs opened
5. **tavplubix** - 896 PRs opened
6. **kssenii** - 871 PRs opened
7. **Avogar** - 805 PRs opened
8. **KochetovNicolai** - 700 PRs opened
9. **Algunenano** - 658 PRs opened
10. **kitaisreal** - 630 PRs opened

**Alexey Milovidov** stands out as by far the most active contributor with over 3,370 pull requests opened, which is significantly more than any other contributor. This makes sense as Alexey Milovidov is one of the founders and lead developers of ClickHouse.

The data also shows that alexey-milovidov has been very active in managing PRs, with 12,818 "closed" events (likely reviewing and closing PRs from other contributors) in addition to creating his own PRs.

It's worth noting that I filtered out various robot/bot accounts that handle automated processes, focusing on human contributors to give you the most meaningful answer about who has contributed the most PRs to ClickHouse.