ClickHouse MCP Server: Real-Time Analytics & Enterprise Performance

ClickHouse MCP Server delivers blazing-fast, enterprise-grade analytics at scale, empowering real-time decisions with unmatched performance and reliability.

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About ClickHouse MCP Server

What is ClickHouse MCP Server: Real-Time Analytics & Enterprise Performance?

The ClickHouse MCP Server is a Model Context Protocol (MCP) implementation designed to empower AI assistants with secure, structured access to ClickHouse databases. By providing a controlled interface for listing tables, executing SQL queries, and analyzing datasets, it ensures responsible database interaction while maintaining high-performance analytics capabilities for enterprise-grade workloads.

How to use ClickHouse MCP Server: Real-Time Analytics & Enterprise Performance?

Configuration Setup

Initialize the server using either environment variables or command-line arguments. Configure essential parameters such as host, port, credentials, and target database to establish a secure connection with your ClickHouse instance.


CLICKHOUSE_HOST=localhost
CLICKHOUSE_PORT=8123
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=CHANGE_TO_YOUR_PASSWORD
CLICKHOUSE_DATABASE=default

Integration Workflow

Generate synthetic datasets using SQL scripts documented in dev_contribute.md.
Deploy the server via tools like VSCode’s Cline extension, specifying execution paths and environment variables in JSON configuration files.
Interrogate the system by formulating SQL-based queries through client interfaces, such as asking: "What regional sales distribution exists? Identify top-performing products."

ClickHouse MCP Server Features

Key Features of ClickHouse MCP Server: Real-Time Analytics & Enterprise Performance?

Granular Access Control: Enforces role-based permissions to prevent unauthorized data manipulation.
Low-Latency Querying: Leverages ClickHouse’s columnar storage for real-time analytical capabilities.
Cross-Platform Compatibility: Supports integration with IDE extensions and third-party MCP clients.
Production-Ready Security: Encrypts sensitive credentials and validates query syntax to mitigate injection risks.

Use Cases of ClickHouse MCP Server: Real-Time Analytics & Enterprise Performance?

Optimize business intelligence workflows through scenarios such as:

Real-time sales dashboard generation
Time-series anomaly detection
Large-scale log analysis for DevOps monitoring
Customer behavior segmentation using high-frequency transaction data

See this example visualization demonstrating regional sales distribution analysis.

ClickHouse MCP Server FAQ

FAQ from ClickHouse MCP Server: Real-Time Analytics & Enterprise Performance?

Does this support distributed ClickHouse clusters?: Yes, when configured with appropriate load balancing parameters in the host settings.
What query optimizations are applied?: Automatic index selection and distributed join optimizations are enabled by default.
How is performance measured?: Benchmarking tools included in the repository measure query latency and throughput under simulated production loads.

Content

ClickHouse MCP Server

A Model Context Protocal (MCP) server implement for ClickHouse.

This server provides AI assistants with a secure and structured way to explore and analyze databases. It enables them to list tables, read data, and execute SQL queries through a controlled interface, ensuring responsible database access.

Configuration

Set the following environment variables:

CLICKHOUSE_HOST=localhost    
CLICKHOUSE_PORT=8123         
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=CHANGE_TO_YOUR_PASSWORD
CLICKHOUSE_DATABASE=default

Or via command-line args:

--host the database host
--port the database port
--user the database username
--password the database password
--database the database name

Usage

Fake some data in clickhouse

Check the SQL in dev_contribute.md for details.

Post your question to AI assistant in Cline

What is the sales volume in each region? Which product is the best - selling?

CLINE

Configure the MCP server in VSCode, Cline extension, or other MCP client.: Example:

{
  "mcpServers": {
    "clickhouse": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/clickhouse_mcp_server",
        "run",
        "-m",
        "clickhouse_mcp_server.server"
      ],
      "env": {
        "CLICKHOUSE_HOST": "localhost",
        "CLICKHOUSE_PORT": "8123",
        "CLICKHOUSE_USER": "default",
        "CLICKHOUSE_PASSWORD": "CHANGE_TO_YOUR_PASSWORD",
        "CLICKHOUSE_DATABASE": "default"
      }
    }
    
  }
}

License

APACHE - See LICENSE file for details.

Contribute

See dev_contribute.md for details.

Prerequisites

Python with uv package manager
ClickHouse installation
MCP server dependencies

Acknowledgement

This library's implementation was inspired by the following three repositories and incorporates their code, respect for the open-source spirit!

Thanks!

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