Cómo crear un agente de IA con mcp-agent y el servidor MCP de ClickHouse

Inicializar el MCP Server y el agente mcp-agent

Ahora configure el ClickHouse MCP server para que apunte al Playground de SQL de ClickHouse, inicialice el agente y hágale una pregunta:

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

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

[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.

Lo que calculé (cómo)
Ejecuté agregaciones en las tablas uk.price-paid en ClickHouse:
- resumen general de 2025 (recuento, media, mediana, mínimo, máximo) de uk.uk_price_paid_simple_partitioned
- desglose mensual para 2025 (transacciones, media, mediana)
- principales ciudades en 2025 por precio promedio (ciudades con >= 50 transacciones)
- comparación anual: 2024 vs 2025 (recuento, media, mediana)
- desglose por tipo de propiedad para 2025 (recuentos, promedio, mediana) usando uk.uk_price_paid

Cifras clave (del conjunto de datos)
- Total 2025 (transacciones registradas): transacciones = 376.633; precio medio = £362.282,66; precio mediano = £281.000; mín = £100; máx =
£127.700.000.
- Por mes (2025): (mes, transacciones, precio medio, precio mediano)
  - Ene: 53.927, media £386.053, mediana £285.000
  - Feb: 58.740, media £371.803, mediana £285.000
  - Mar: 95.274, media £377.200, mediana £315.000
  - Abr: 24.987, media £331.692, mediana £235.000
  - May: 39.013, media £342.380, mediana £255.000
  - Jun: 41.446, media £334.667, mediana £268.500
  - Jul: 44.431, media £348.293, mediana £277.500
  - Ago: 18.815, media £364.653, mediana £292.999
  (Solo los meses 1–8 están presentes en el conjunto de datos.)
- Principales ciudades por precio promedio (2025, ciudades con ≥50 transacciones)
  - TRING: 126 txns, promedio £1.973.274
  - BUCKHURST HILL: 98 txns, promedio £1.441.331
  - ASCOT: 175 txns, promedio £1.300.748
  - RADLETT: 69 txns, promedio £1.160.217
  - COBHAM: 115 txns, promedio £1.035.192
  - EAST MOLESEY, BEACONSFIELD, ESHER, CHALFONT ST GILES, THAMES DITTON también están en el top 10 (todas ciudades de alto promedio para commuters/adineradas).
- Comparación anual (2024 vs 2025 según registros)
  - 2024: 859.960 transacciones, media £390.879, mediana £280.000
  - 2025: 376.633 transacciones, media £362.283, mediana £281.000
  (Los recuentos de 2025 son mucho menores porque el conjunto de datos solo incluye parte del año.)
- Por tipo de propiedad (2025)
  - unifamiliar: 85.362 txns, promedio £495.714, mediana £415.000
  - adosado semi-independiente: 107.580 txns, promedio £319.922, mediana £270.000
  - piso: 62.975 txns, promedio £298.529, mediana £227.000
  - adosado: 112.832 txns, promedio £286.616, mediana £227.000
  - otro: 7.884 txns, promedio £1.087.765 (mediana £315.000) — nota: efecto de grupo pequeño y valores atípicos

Advertencias importantes y notas sobre calidad de datos
- El conjunto de datos parece parcial para 2025 (solo están presentes los meses de enero a agosto). Cualquier total de "2025" no corresponde a cifras de año completo.
- Existen grandes valores atípicos (p. ej., máx £127,7 M y mín £100). Es probable que incluyan errores de entrada de datos o registros no estándar que inflan la
media. La mediana suele ser una medida más robusta en este caso.
- Los promedios del tipo de propiedad "otro" son inestables debido a recuentos bajos/heterogéneos y valores atípicos.
- No filtré por is_new, duration u otros metadatos; esos filtros pueden cambiar los resultados (por ejemplo, excluyendo obra nueva o
arrendamientos).
- Las tablas son registros de transacciones de tipo Price Paid (ventas registradas): no representan directamente precios de oferta ni valoraciones.

Próximos pasos sugeridos (puedo ejecutarlos)
- Eliminar valores atípicos obvios (p. ej., precios < £10k o > £10M) y recalcular promedios/medianas.
- Producir resúmenes y mapas por región / condado / área de código postal.
- Calcular la mediana mensual o móvil de 3 meses para mostrar la tendencia a lo largo de 2025.
- Producir tasas de crecimiento interanual (YoY) por mes (p. ej., mar 2025 vs mar 2024).
- Pronóstico para todo 2025 usando extrapolación simple o modelado de series temporales (pero mejor después de decidir cómo manejar los meses faltantes/valores atípicos).

Si lo desea, puedo:
- Volver a ejecutar las mismas agregaciones después de eliminar los valores atípicos extremos y mostrar los resultados limpios.
- Producir el crecimiento mensual interanual y gráficos (puedo devolver agregados en CSV o JSON que pueda graficar).
¿Qué le gustaría que hiciera a continuación?
[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"
  }
}

Cómo crear un agente de IA con mcp-agent y el servidor MCP de ClickHouse

Requisitos previos

Instalar bibliotecas

Configura las credenciales

Inicializar el MCP Server y el agente mcp-agent

​Requisitos previos

​Instalar bibliotecas

​Configura las credenciales

​Inicializar el MCP Server y el agente mcp-agent

Requisitos previos

Instalar bibliotecas

Configura las credenciales

Inicializar el MCP Server y el agente mcp-agent