Skip to main content

An MCP server for ClickHouse.

Project description

ClickHouse MCP Server

PyPI - Version

An MCP server for ClickHouse.

mcp-clickhouse MCP server

Features

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 all tables in a database.
    • Input: database (string): The name of the database.

Configuration

  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",
        "3.13",
        "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"
      }
    }
  }
}

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",
        "3.13",
        "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"
      }
    }
  }
}
  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.

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.

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, you can run mcp dev mcp_clickhouse/mcp_server.py to start the MCP server.

Environment Variables

The following environment variables are used to configure the ClickHouse connection:

Required Variables

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

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_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)
  • CLICKHOUSE_CONNECT_TIMEOUT: Connection timeout in seconds
    • Default: "30"
    • Increase this value if you experience connection timeouts
  • CLICKHOUSE_SEND_RECEIVE_TIMEOUT: Send/receive timeout in seconds
    • Default: "300"
    • Increase this value for long-running queries
  • CLICKHOUSE_DATABASE: Default database to use
    • Default: None (uses server default)
    • Set this to automatically connect to a specific database

Example Configurations

For local development with Docker:

# Required variables
CLICKHOUSE_HOST=localhost
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=clickhouse

# Optional: Override defaults for local development
CLICKHOUSE_SECURE=false  # Uses port 8123 automatically
CLICKHOUSE_VERIFY=false

For ClickHouse Cloud:

# Required variables
CLICKHOUSE_HOST=your-instance.clickhouse.cloud
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=your-password

# Optional: These use secure defaults
# CLICKHOUSE_SECURE=true  # Uses port 8443 automatically
# CLICKHOUSE_DATABASE=your_database

For ClickHouse SQL Playground:

CLICKHOUSE_HOST=sql-clickhouse.clickhouse.com
CLICKHOUSE_USER=demo
CLICKHOUSE_PASSWORD=
# Uses secure defaults (HTTPS on port 8443)

You can set these variables in your environment, in a .env file, or in the Claude Desktop configuration:

{
  "mcpServers": {
    "mcp-clickhouse": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp-clickhouse",
        "--python",
        "3.13",
        "mcp-clickhouse"
      ],
      "env": {
        "CLICKHOUSE_HOST": "<clickhouse-host>",
        "CLICKHOUSE_USER": "<clickhouse-user>",
        "CLICKHOUSE_PASSWORD": "<clickhouse-password>",
        "CLICKHOUSE_DATABASE": "<optional-database>"
      }
    }
  }
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ff_mcp_clickhouse-0.1.8.tar.gz (37.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ff_mcp_clickhouse-0.1.8-py3-none-any.whl (13.8 kB view details)

Uploaded Python 3

File details

Details for the file ff_mcp_clickhouse-0.1.8.tar.gz.

File metadata

  • Download URL: ff_mcp_clickhouse-0.1.8.tar.gz
  • Upload date:
  • Size: 37.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for ff_mcp_clickhouse-0.1.8.tar.gz
Algorithm Hash digest
SHA256 f5924f5da960ef181519d3de769d89b4eb750e3a318cb3bd9664637748c0570a
MD5 e472356f116f84f37c3d853268ad9a8b
BLAKE2b-256 5bdfffb452317ad48e26123c28e0cb485a801fb8b9b82993b3ab02ee03db5ac7

See more details on using hashes here.

Provenance

The following attestation bundles were made for ff_mcp_clickhouse-0.1.8.tar.gz:

Publisher: publish.yml on Ilya1991/ff-mcp-clickhouse

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ff_mcp_clickhouse-0.1.8-py3-none-any.whl.

File metadata

File hashes

Hashes for ff_mcp_clickhouse-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 05b5400c78eb42e04c930a739b0deb75ebd83ef8074ba407460a4284dc814991
MD5 8158f7ccc5651fe9dbd0bf1aee14bdcd
BLAKE2b-256 f40c9577acd35f2c20dc819283f4bbadf3e1dd3ee6f21824a7baf2c67283d42f

See more details on using hashes here.

Provenance

The following attestation bundles were made for ff_mcp_clickhouse-0.1.8-py3-none-any.whl:

Publisher: publish.yml on Ilya1991/ff-mcp-clickhouse

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page