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ClickHouse
What is An MCP server for ClickHouse.?
ClickHouse MCP Server provides tools to execute SQL queries on ClickHouse clusters, list databases and tables, and supports health checks. It can be configured for both ClickHouse and chDB, allowing for flexible data querying and management.
Documentation
ClickHouse MCP Server
An MCP server for ClickHouse.
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 all tables in a database.
Input: database (string): The name of the database.
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\n\n# 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.
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
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.
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:
Install the package using pip:
python3 -m pip install mcp-clickhouse
To upgrade to the latest version:
python3 -m pip install --upgrade mcp-clickhouse
Update your Claude Desktop configuration to use Python directly:
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
In test-services directory run docker compose up -d to start the ClickHouse cluster.
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.
Run uv sync to install the dependencies. To install uv follow the instructions here. Then do source .venv/bin/activate.
For easy testing with the MCP Inspector, run fastmcp dev mcp_clickhouse/mcp_server.py to start the MCP server.
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
Set to "false" to disable ClickHouse tools when using chDB only
chDB Variables
CHDB_ENABLED: Enable/disable chDB functionality
Default: "false"
Set to "true" to enable chDB tools
CHDB_DATA_PATH: The path to the chDB data directory
Default: ":memory:" (in-memory database)
Use :memory: for in-memory database
Use a file path for persistent storage (e.g., /path/to/chdb/data)
Example Configurations
For local development with Docker:
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:
CLICKHOUSE_HOST=your-instance.clickhouse.cloud
CLICKHOUSE_USER=default
CLICKHOUSE_PASSWORD=your-password
# Optional: These use secure defaults\n\n# CLICKHOUSE_SECURE=true # Uses port 8443 automatically\n\n# CLICKHOUSE_DATABASE=your_database
For ClickHouse SQL Playground:
CLICKHOUSE_HOST=sql-clickhouse.clickhouse.com
CLICKHOUSE_USER=demo
CLICKHOUSE_PASSWORD=\n\n# Uses secure defaults (HTTPS on port 8443)
For chDB only (in-memory):
CHDB_ENABLED=true
CLICKHOUSE_ENABLED=false\n\n# CHDB_DATA_PATH defaults to :memory:
Note: The bind host and port settings are only used when transport is set to "http" or "sse".
Running tests
uv sync --all-extras --dev # install dev dependencies
uv run ruff check . # run linting
docker compose up -d test_services # start ClickHouse
uv run pytest -v tests
uv run pytest -v tests/test_tool.py # ClickHouse only
uv run pytest -v tests/test_chdb_tool.py # chDB only