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ClickHouse

BYClickHouse0GRADE B

Query your [ClickHouse](https://clickhouse.com/) database server.

Config Installation

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "clickhouse": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-clickhouse"
      ]
    }
  }
}

* Note: Requires restart of Claude Desktop app.

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Adoption Framework for ClickHouse

Before installing any skill, define a clear objective and measurable outcome. A useful implementation question is: what workflow becomes faster, safer, or more reliable after this skill is active? If that answer is vague, delay rollout and tighten scope first.

For most teams, a low-risk pattern is preview-first rollout with one owner, one test scenario, and one rollback plan. Capture failures in a structured log so quality decisions are evidence-based. This is especially important for skills that touch file systems, external APIs, or automation chains with downstream side effects.

  • Define success metrics before installation.
  • Validate permission scope against policy boundaries.
  • Run one controlled pilot and document failure categories.
  • Promote only after acceptance checks pass consistently.

Pre-Deployment Review Questions

Use these questions before enabling the skill in shared environments. They reduce surprise incidents and make approval decisions consistent across teams.

  • What data can this skill read, write, or transmit by default?
  • Which failures are recoverable automatically and which require manual stop?
  • Do we have verifiable logs that prove safe behavior under load?
  • Is rollback tested, documented, and assigned to a clear owner?

If any answer is unclear, keep rollout in preview and close the gap before production use.

Editorial Review Snapshot

This listing includes an editorial QA layer in addition to automated rendering. Review status is based on documentation depth, content uniqueness, and operational safety signals from the upstream repository.

  • Last scan date: 2026-01-18
  • README depth: 1131 words
  • Content diversity score: 0.45 (higher is better)
  • Template signal count: 0
  • Index status: Index eligible

Recommendation: Pilot in a bounded environment first. Confirm observability and ownership before promoting to shared workflows.

Skill Implementation Board

Actionable utility module for rollout decisions. Use the inputs below to choose a deployment path, then execute the checklist and record an output note.

Input: Security Grade

B

Input: Findings

0

Input: README Depth

1131 words

Input: Index State

Eligible

Decision TriggerActionExpected Output
Input: risk band moderate, docs partial, findings 0Run a preview pilot with fixed ownership and observability checkpoints.Pilot can start with rollback checklist attached.
Input: page is index-eligibleProceed with external documentation and team onboarding draft.Reusable rollout runbook ready for team adoption.
Input: context tags/scenarios are missingDefine two concrete scenarios before broad rollout.Clear scope definition before further deployment.

Execution Steps

  1. Capture objective, owner, and rollback contact.
  2. Run one preview pilot with fixed test scenario.
  3. Record warning behavior and recovery evidence.
  4. Promote only if pilot output matches expected threshold.

Output Template

skill=clickhouse
mode=B
pilot_result=pass|fail
warning_count=0
next_step=rollout|patch|hold

🛡️ Security Analysis

SCANNED: 2026-01-18
SCORE: 80/100

Clean Scan Report

Our static analysis engine detected no common vulnerabilities (RCE, API Leaks, Unbounded FS).

DocumentationREADME.md

Note: The content below is automatically rendered from the repository's README file.

ClickHouse MCP Server

PyPI - Version

An MCP server for ClickHouse.

mcp-clickhouse MCP server

Features

ClickHouse Tools

  • run_select_query

    • Execute SQL queries on your ClickHouse cluster.
    • Input: sql (string): The SQL query to execute.
    • All ClickHouse queries are run with readonly = 1 to ensure they are safe.
  • list_databases

    • List all databases on your ClickHouse cluster.
  • list_tables

    • List tables in a database with pagination.
    • Required input: database (string).
    • Optional inputs:
      • like / not_like (string): Apply LIKE or NOT LIKE filters to table names.
      • page_token (string): Token returned by a previous call for fetching the next page.
      • page_size (int, default 50): Number of tables returned per page.
      • include_detailed_columns (bool, default true): When false, omits column metadata for lighter responses while keeping the full create_table_query.
    • Response shape:
      • tables: Array of table objects for the current page.
      • next_page_token: Pass this value back to fetch the next page, or null when there are no more tables.
      • total_tables: Total count of tables that match the supplied filters.

chDB Tools

  • run_chdb_select_query
    • Execute SQL queries using chDB's embedded ClickHouse engine.
    • Input: sql (string): The SQL query to execute.
    • Query data directly from various sources (files, URLs, databases) without ETL processes.

Health Check Endpoint

When running with HTTP or SSE transport, a health check endpoint is available at /health. This endpoint:

  • Returns 200 OK with the ClickHouse version if the server is healthy and can connect to ClickHouse
  • Returns 503 Service Unavailable if the server cannot connect to ClickHouse

Example:

curl http://localhost:8000/health
# Response: OK - Connected to ClickHouse 24.3.1

Configuration

This MCP server supports both ClickHouse and chDB. You can enable either or both depending on your needs.

  1. Open the Claude Desktop configuration file located at:

    • On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • On Windows: %APPDATA%/Claude/claude_desktop_config.json
  2. Add the following:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp-clickhouse",
        "--python",
        "3.10",
        "mcp-clickhouse"
      ],
      "env": {
        "CLICKHOUSE_HOST": "<clickhouse-host>",
        "CLICKHOUSE_PORT": "<clickhouse-port>",
        "CLICKHOUSE_USER": "<clickhouse-user>",
        "CLICKHOUSE_PASSWORD": "<clickhouse-password>",
        "CLICKHOUSE_ROLE": "<clickhouse-role>",
        "CLICKHOUSE_SECURE": "true",
        "CLICKHOUSE_VERIFY": "true",
        "CLICKHOUSE_CONNECT_TIMEOUT": "30",
        "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30"
      }
    }
  }
}

Update the environment variables to point to your own ClickHouse service.

Or, if you'd like to try it out with the ClickHouse SQL Playground, you can use the following config:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp-clickhouse",
        "--python",
        "3.10",
        "mcp-clickhouse"
      ],
      "env": {
        "CLICKHOUSE_HOST": "sql-clickhouse.clickhouse.com",
        "CLICKHOUSE_PORT": "8443",
        "CLICKHOUSE_USER": "demo",
        "CLICKHOUSE_PASSWORD": "",
        "CLICKHOUSE_SECURE": "true",
        "CLICKHOUSE_VERIFY": "true",
        "CLICKHOUSE_CONNECT_TIMEOUT": "30",
        "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30"
      }
    }
  }
}

For chDB (embedded ClickHouse engine), add the following configuration:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp-clickhouse",
        "--python",
        "3.10",
        "mcp-clickhouse"
      ],
      "env": {
        "CHDB_ENABLED": "true",
        "CLICKHOUSE_ENABLED": "false",
        "CHDB_DATA_PATH": "/path/to/chdb/data"
      }
    }
  }
}

You can also enable both ClickHouse and chDB simultaneously:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp-clickhouse",
        "--python",
        "3.10",
        "mcp-clickhouse"
      ],
      "env": {
        "CLICKHOUSE_HOST": "<clickhouse-host>",
        "CLICKHOUSE_PORT": "<clickhouse-port>",
        "CLICKHOUSE_USER": "<clickhouse-user>",
        "CLICKHOUSE_PASSWORD": "<clickhouse-password>",
        "CLICKHOUSE_SECURE": "true",
        "CLICKHOUSE_VERIFY": "true",
        "CLICKHOUSE_CONNECT_TIMEOUT": "30",
        "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30",
        "CHDB_ENABLED": "true",
        "CHDB_DATA_PATH": "/path/to/chdb/data"
      }
    }
  }
}
  1. Locate the command entry for uv and replace it with the absolute path to the uv executable. This ensures that the correct version of uv is used when starting the server. On a mac, you can find this path using which uv.

  2. Restart Claude Desktop to apply the changes.

Running Without uv (Using System Python)

If you prefer to use the system Python installation instead of uv, you can install the package from PyPI and run it directly:

  1. Install the package using pip:

    python3 -m pip install mcp-clickhouse
    

    To upgrade to the latest version:

    python3 -m pip install --upgrade mcp-clickhouse
    
  2. Update your Claude Desktop configuration to use Python directly:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "python3",
      "args": [
        "-m",
        "mcp_clickhouse.main"
      ],
      "env": {
        "CLICKHOUSE_HOST": "<clickhouse-host>",
        "CLICKHOUSE_PORT": "<clickhouse-port>",
        "CLICKHOUSE_USER": "<clickhouse-user>",
        "CLICKHOUSE_PASSWORD": "<clickhouse-password>",
        "CLICKHOUSE_SECURE": "true",
        "CLICKHOUSE_VERIFY": "true",
        "CLICKHOUSE_CONNECT_TIMEOUT": "30",
        "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30"
      }
    }
  }
}

Alternatively, you can use the installed script directly:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "mcp-clickhouse",
      "env": {
        "CLICKHOUSE_HOST": "<clickhouse-host>",
        "CLICKHOUSE_PORT": "<clickhouse-port>",
        "CLICKHOUSE_USER": "<clickhouse-user>",
        "CLICKHOUSE_PASSWORD": "<clickhouse-password>",
        "CLICKHOUSE_SECURE": "true",
        "CLICKHOUSE_VERIFY": "true",
        "CLICKHOUSE_CONNECT_TIMEOUT": "30",
        "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "30"
      }
    }
  }
}

Note: Make sure to use the full path to the Python executable or the mcp-clickhouse script if they are not in your system PATH. You can find the paths using:

  • which python3 for the Python executable
  • which mcp-clickhouse for the installed script

Development

  1. In test-services directory run docker compose up -d to start the ClickHouse cluster.

  2. Add the following variables to a .env file in the root of the repository.

Note: The use of the default user in this context is intended solely for local development purposes.

CLICKHOUSE_HOST=localhost
CLICKHOUSE_PORT=8123
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=clickhouse
  1. Run uv sync to install the dependencies. To install uv follow the instructions here. Then do source .venv/bin/activate.

  2. For easy testing with the MCP Inspector, run fastmcp dev mcp_clickhouse/mcp_server.py to start the MCP server.

  3. To test with HTTP transport and the health check endpoint:

    # Using default port 8000
    CLICKHOUSE_MCP_SERVER_TRANSPORT=http python -m mcp_clickhouse.main
    
    # Or with a custom port
    CLICKHOUSE_MCP_SERVER_TRANSPORT=http CLICKHOUSE_MCP_BIND_PORT=4200 python -m mcp_clickhouse.main
    
    # Then in another terminal:
    curl http://localhost:8000/health  # or http://localhost:4200/health for custom port
    

Environment Variables

The following environment variables are used to configure the ClickHouse and chDB connections:

ClickHouse Variables

Required Variables
  • CLICKHOUSE_HOST: The hostname of your ClickHouse server
  • CLICKHOUSE_USER: The username for authentication
  • CLICKHOUSE_PASSWORD: The password for authentication

[!CAUTION] It is important to treat your MCP database user as you would any external client connecting to your database, granting only the minimum necessary privileges required for its operation. The use of default or administrative users should be strictly avoided at all times.

Optional Variables
  • CLICKHOUSE_PORT: The port number of your ClickHouse server
    • Default: 8443 if HTTPS is enabled, 8123 if disabled
    • Usually doesn't need to be set unless using a non-standard port
  • CLICKHOUSE_ROLE: The role to use for authentication
    • Default: None
    • Set this if your user requires a specific role
  • CLICKHOUSE_SECURE: Enable/disable HTTPS connection
    • Default: "true"
    • Set to "false" for non-secure connections
  • CLICKHOUSE_VERIFY: Enable/disable SSL certificate verification
    • Default: "true"
    • Set to "false" to disable certificate verification (not recommended for production)
    • TLS certificates: The package uses your operating system trust store for TLS certificate verification via truststore. We call truststore.inject_into_ssl() at startup to ensure proper certificate handling. Python’s default SSL behavior is used as a fallback only if an unexpected error occurs.
  • `CLICKHOU

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