如何使用 Upsonic 和 ClickHouse MCP 服务器构建 AI 智能体

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2025-10-10 11:26:12,758 - mcp.server.lowlevel.server - INFO - Processing request of type ListToolsRequest
Found 3 tools from DatabaseMCP
  - list_databases: List available ClickHouse databases
  - list_tables: List available ClickHouse tables in a database, including schema, comment,
row count, and column count.
  - run_select_query: Run a SELECT query in a ClickHouse database
✅ MCP tools discovered via thread

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[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前几大城镇（交易量 >= 50 的城镇）
- 年度对比：2024 年 vs 2025 年（计数、均值、中位数）
- 2025 年按房产类型细分（计数、平均值、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。）
- 按平均价格排名的前几大城镇（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 vs 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 年计数较低，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
  - 联排住宅：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"房产类型的平均值不稳定，原因是样本量少、异质性高且存在异常值。
- 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）。
- 这些表是价格支付式交易记录（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 / 郡县 / 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 vs 2024 年 3 月）。
- 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）。
您希望我接下来做哪项？
[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"
  }
}