> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-fbfa8bee.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 如何使用 mcp-agent 和 ClickHouse MCP 服务器构建 AI 智能体

> 了解如何使用 mcp-agent 和 ClickHouse MCP 服务器构建 AI 智能体

在本指南中，你将学习如何构建一个 [mcp-agent](https://github.com/lastmile-ai/mcp-agent) AI 智能体，使其能够借助 [ClickHouse MCP 服务器](https://github.com/ClickHouse/mcp-clickhouse) 与 [ClickHouse SQL Playground](https://sql.clickhouse.com/) 交互。

<Info>
  **示例 notebook**

  你可以在[示例仓库](https://github.com/ClickHouse/examples/blob/main/ai/mcp/mcp-agent/mcp-agent.ipynb)中找到该示例对应的 notebook。
</Info>

<div id="prerequisites">
  ## 前置条件
</div>

* 你的系统中需要已安装 Python。
* 你的系统中需要已安装 `pip`。
* 你需要一个 OpenAI API 密钥

你可以在 Python REPL 中或通过脚本执行以下步骤。

<Steps>
  <Step>
    ## 安装库

    运行以下命令安装 `mcp-agent` 库：

    ```python theme={null}
    pip install -q --upgrade pip
    pip install -q mcp-agent openai
    pip install -q ipywidgets
    ```
  </Step>

  <Step>
    ## 设置凭据

    接下来，您需要提供 OpenAI API 密钥：

    ```python theme={null}
    import os, getpass
    os.environ["OPENAI_API_KEY"] = getpass.getpass("Enter OpenAI API Key:")
    ```

    ```response title="Response" theme={null}
    Enter OpenAI API Key: ········
    ```

    接下来，配置连接到 ClickHouse SQL playground 所需的凭据：

    ```python theme={null}
    env = {
        "CLICKHOUSE_HOST": "sql-clickhouse.clickhouse.com",
        "CLICKHOUSE_PORT": "8443",
        "CLICKHOUSE_USER": "demo",
        "CLICKHOUSE_PASSWORD": "",
        "CLICKHOUSE_SECURE": "true"
    }
    ```
  </Step>

  <Step>
    ## 初始化 MCP server 和 mcp-agent agent

    现在将 ClickHouse MCP 服务器配置为指向 ClickHouse SQL playground，
    然后初始化 agent 并向其提问：

    ```python theme={null}
    from mcp_agent.app import MCPApp
    from mcp_agent.agents.agent import Agent
    from mcp_agent.workflows.llm.augmented_llm_openai import OpenAIAugmentedLLM
    from mcp_agent.config import Settings, MCPSettings, MCPServerSettings, OpenAISettings
    ```

    ```python theme={null}
    settings = Settings(
        execution_engine="asyncio",
        openai=OpenAISettings(
            default_model="gpt-5-mini-2025-08-07",
        ),
        mcp=MCPSettings(
            servers={
                "clickhouse": MCPServerSettings(
                    command='uv',
                    args=[
                        "run",
                        "--with", "mcp-clickhouse",
                        "--python", "3.10",
                        "mcp-clickhouse"
                    ],
                    env=env
                ),
            }
        ),
    )

    app = MCPApp(name="mcp_basic_agent", settings=settings)

    async with app.run() as mcp_agent_app:
        logger = mcp_agent_app.logger
        data_agent = Agent(
            name="database-anayst",
            instruction="""You can answer questions with help from a ClickHouse database.""",
            server_names=["clickhouse"],
        )

        async with data_agent:
            llm = await data_agent.attach_llm(OpenAIAugmentedLLM)
            result = await llm.generate_str(
                message="Tell me about UK property prices in 2025. Use ClickHouse to work it out."
            )
            
            logger.info(result)
    ```

    ```response title="Response" theme={null}
    [10/10/25 11:26:20] INFO     Starting MCP server 'mcp-clickhouse' with transport 'stdio'                                      server.py:1502
    2025-10-10 11:26:20,183 - mcp.server.lowlevel.server - INFO - Processing request of type ListToolsRequest
    2025-10-10 11:26:20,184 - mcp.server.lowlevel.server - INFO - Processing request of type ListPromptsRequest
    2025-10-10 11:26:20,185 - mcp.server.lowlevel.server - INFO - Processing request of type ListResourcesRequest
    [INFO] 2025-10-10T11:26:20 mcp_agent.workflows.llm.augmented_llm_openai.database-anayst - Using reasoning model 'gpt-5-mini-2025-08-07' with
    'medium' reasoning effort
    [INFO] 2025-10-10T11:26:23 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "list_databases",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    2025-10-10 11:26:23,477 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:23,479 - mcp-clickhouse - INFO - Listing all databases
    2025-10-10 11:26:23,479 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:24,375 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:24,551 - mcp-clickhouse - INFO - Found 38 databases
    [INFO] 2025-10-10T11:26:26 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "list_tables",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    2025-10-10 11:26:26,825 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:26,832 - mcp-clickhouse - INFO - Listing tables in database 'uk'
    2025-10-10 11:26:26,832 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:27,311 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:28,738 - mcp-clickhouse - INFO - Found 9 tables
    [INFO] 2025-10-10T11:26:48 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "run_select_query",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    [INFO] 2025-10-10T11:26:48 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "run_select_query",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    [INFO] 2025-10-10T11:26:48 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "run_select_query",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    [INFO] 2025-10-10T11:26:48 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "run_select_query",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    [INFO] 2025-10-10T11:26:48 mcp_agent.mcp.mcp_aggregator.database-anayst - Requesting tool call
    {
      "data": {
        "progress_action": "Calling Tool",
        "tool_name": "run_select_query",
        "server_name": "clickhouse",
        "agent_name": "database-anayst"
      }
    }
    2025-10-10 11:26:48,366 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:48,367 - mcp-clickhouse - INFO - Executing SELECT query: SELECT
    count(*) AS transactions,
    avg(price) AS avg_price,
    quantileExact(0.5)(price) AS median_price,
    min(price) AS min_price,
    max(price) AS max_price
    FROM uk.uk_price_paid_simple_partitioned
    WHERE toYear(date)=2025
    2025-10-10 11:26:48,367 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:49,262 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:49,407 - mcp-clickhouse - INFO - Query returned 1 rows
    2025-10-10 11:26:49,408 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:49,408 - mcp-clickhouse - INFO - Executing SELECT query: SELECT toMonth(date) AS month, count(*) AS transactions, avg(price) AS avg_price, quantileExact(0.5)(price) AS median_price
    FROM uk.uk_price_paid_simple_partitioned
    WHERE toYear(date)=2025
    GROUP BY month
    ORDER BY month
    2025-10-10 11:26:49,408 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:49,857 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:50,067 - mcp-clickhouse - INFO - Query returned 8 rows
    2025-10-10 11:26:50,068 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:50,069 - mcp-clickhouse - INFO - Executing SELECT query: SELECT town, count(*) AS transactions, avg(price) AS avg_price
    FROM uk.uk_price_paid_simple_partitioned
    WHERE toYear(date)=2025
    GROUP BY town
    HAVING transactions >= 50
    ORDER BY avg_price DESC
    LIMIT 10
    2025-10-10 11:26:50,069 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:50,594 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:50,741 - mcp-clickhouse - INFO - Query returned 10 rows
    2025-10-10 11:26:50,744 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:50,746 - mcp-clickhouse - INFO - Executing SELECT query: SELECT toYear(date) AS year, count(*) AS transactions, avg(price) AS avg_price, quantileExact(0.5)(price) AS median_price
    FROM uk.uk_price_paid_simple_partitioned
    WHERE toYear(date) IN (2024,2025)
    GROUP BY year
    ORDER BY year
    2025-10-10 11:26:50,747 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:51,256 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:51,447 - mcp-clickhouse - INFO - Query returned 2 rows
    2025-10-10 11:26:51,449 - mcp.server.lowlevel.server - INFO - Processing request of type CallToolRequest
    2025-10-10 11:26:51,452 - mcp-clickhouse - INFO - Executing SELECT query: SELECT type, count(*) AS transactions, avg(price) AS avg_price, quantileExact(0.5)(price) AS median_price
    FROM uk.uk_price_paid
    WHERE toYear(date)=2025
    GROUP BY type
    ORDER BY avg_price DESC
    2025-10-10 11:26:51,452 - mcp-clickhouse - INFO - Creating ClickHouse client connection to sql-clickhouse.clickhouse.com:8443 as demo (secure=True, verify=True, connect_timeout=30s, send_receive_timeout=30s)
    2025-10-10 11:26:51,952 - mcp-clickhouse - INFO - Successfully connected to ClickHouse server version 25.8.1.8344
    2025-10-10 11:26:52,166 - mcp-clickhouse - INFO - Query returned 5 rows
    [INFO] 2025-10-10T11:27:51 mcp_agent.mcp_basic_agent - Summary (TL;DR)
    - Based on the UK Price Paid tables in ClickHouse, for transactions recorded in 2025 so far there are 376,633 sales with an average price of
    £362,283 and a median price of £281,000. The data appears to include only months Jan–Aug 2025 (so 2025 is incomplete). There are extreme
    outliers (min £100, max £127,700,000) that skew the mean.

    我计算的内容（方式）
    我对 ClickHouse 中的 uk.price-paid 表运行了聚合查询：
    - 2025 年整体汇总（计数、均值、中位数、最小值、最大值），来源：uk.uk_price_paid_simple_partitioned
    - 2025 年按月细分（交易量、均值、中位数）
    - 2025 年按平均价格排名的顶级城镇（交易量 >= 50 的城镇）
    - 年度对比：2024 年与 2025 年（计数、均值、中位数）
    - 2025 年按房产类型细分（计数、均值、中位数），来源：uk.uk_price_paid

    关键数据（来自数据集）
    - 2025 年整体（已记录交易）：交易量 = 376,633；均价 = £362,282.66；中位价 = £281,000；最低 = £100；最高 =
    £127,700,000。
    - 按月（2025 年）：（月份、交易量、均价、中位价）
      - 1月：53,927，均价 £386,053，中位价 £285,000
      - 2月：58,740，均价 £371,803，中位价 £285,000
      - 3月：95,274，均价 £377,200，中位价 £315,000
      - 4月：24,987，均价 £331,692，中位价 £235,000
      - 5月：39,013，均价 £342,380，中位价 £255,000
      - 6月：41,446，均价 £334,667，中位价 £268,500
      - 7月：44,431，均价 £348,293，中位价 £277,500
      - 8月：18,815，均价 £364,653，中位价 £292,999
      （数据集中仅包含第 1–8 个月。）
    - 按平均价格排名的顶级城镇（2025 年，交易量 ≥50 的城镇）
      - TRING：126 笔交易，均价 £1,973,274
      - BUCKHURST HILL：98 笔交易，均价 £1,441,331
      - ASCOT：175 笔交易，均价 £1,300,748
      - RADLETT：69 笔交易，均价 £1,160,217
      - COBHAM：115 笔交易，均价 £1,035,192
      - EAST MOLESEY、BEACONSFIELD、ESHER、CHALFONT ST GILES、THAMES DITTON 也位列前 10（均为高均价通勤/富裕城镇）。
    - 年度对比（2024 年与 2025 年已记录数据）
      - 2024 年：859,960 笔交易，均价 £390,879，中位价 £280,000
      - 2025 年：376,633 笔交易，均价 £362,283，中位价 £281,000
      （2025 年交易量较低，因为数据集仅包含部分年份数据。）
    - 按房产类型（2025 年）
      - 独立式住宅：85,362 笔交易，均价 £495,714，中位价 £415,000
      - 半独立式住宅：107,580 笔交易，均价 £319,922，中位价 £270,000
      - 公寓：62,975 笔交易，均价 £298,529，中位价 £227,000
      - 排屋：112,832 笔交易，均价 £286,616，中位价 £227,000
      - 其他：7,884 笔交易，均价 £1,087,765（中位价 £315,000）——注意小样本组和异常值效应

    重要注意事项及数据质量说明
    - 2025 年数据集似乎不完整（仅包含 1 月至 8 月）。任何"2025 年"总计均非全年数据。
    - 存在较大异常值（例如最高 £127.7M，最低 £100）。这些可能包含数据录入错误或非标准记录，会拉高均值。中位数在此处通常是更稳健的衡量指标。
    - "其他"房产类型的均值因样本量少/异质性高及异常值而不稳定。
    - 我未按 is_new、duration 或其他元数据进行筛选；这些筛选条件可能改变结果（例如排除新建房或租赁房）。
    - 这些表是成交价格式的交易记录（已记录销售）——不直接代表要价或估值。

    建议的后续步骤（我可以执行）
    - 剔除明显异常值（例如价格 < £10k 或 > £10M），重新计算均值/中位数。
    - 生成区域/郡/邮政编码区域汇总及地图。
    - 计算环比或滚动 3 个月中位数，以展示 2025 年的趋势。
    - 按月生成同比（YoY）增长率（例如 2025 年 3 月与 2024 年 3 月对比）。
    - 使用简单外推或时间序列建模预测 2025 年全年数据（但最好在确定如何处理缺失月份/异常值后再进行）。

    如果您愿意，我可以：
    - 在剔除极端异常值后重新运行相同的聚合查询，并展示清洗后的结果。
    - 生成同比月度增长数据和图表（我可以返回 CSV 或 JSON 格式的聚合数据供您绘图）。
    您希望我接下来做什么？
    [INFO] 2025-10-10T11:27:51 mcp_agent.mcp.mcp_aggregator.database-anayst - Last aggregator closing, shutting down all persistent
    connections...
    [INFO] 2025-10-10T11:27:51 mcp_agent.mcp.mcp_connection_manager - Disconnecting all persistent server connections...
    [INFO] 2025-10-10T11:27:51 mcp_agent.mcp.mcp_connection_manager - clickhouse: Requesting shutdown...
    [INFO] 2025-10-10T11:27:51 mcp_agent.mcp.mcp_connection_manager - All persistent server connections signaled to disconnect.
    [INFO] 2025-10-10T11:27:52 mcp_agent.mcp.mcp_aggregator.database-anayst - Connection manager successfully closed and removed from context
    [INFO] 2025-10-10T11:27:52 mcp_agent.mcp_basic_agent - MCPApp cleanup
    {
      "data": {
        "progress_action": "Finished",
        "target": "mcp_basic_agent",
        "agent_name": "mcp_application_loop"
      }
    }
    ```
  </Step>
</Steps>