clickhouse-mcp-server
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Integrations
Provides tools for connecting to a ClickHouse database and executing SQL queries, with support for multiple queries and JSON-formatted results.
Clickhouse MCP server
A Clickhouse database MCP server project.
Installation
You can install the package using uv
:
Or using pip
:
Components
Tools
The server provides two tools:
connect_database
: Connects to a specific Clickhouse databasedatabase
parameter: Name of the database to connect to (string)- Returns a confirmation message when connection is successful
execute_query
: Executes Clickhouse queriesquery
parameter: SQL query/queries to execute (string)- Returns query results in JSON format
- Multiple queries can be sent separated by semicolons
Configuration
The server uses the following environment variables:
CLICKHOUSE_HOST
: Clickhouse server address (default: "localhost")CLICKHOUSE_USER
: Clickhouse username (default: "root")CLICKHOUSE_PASSWORD
: Clickhouse password (default: "")CLICKHOUSE_DATABASE
: Initial database (optional)CLICKHOUSE_READONLY
: Read-only mode (set to 1/true to enable, default: false)
Quickstart
Installation
Claude Desktop
MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
Installing via Smithery
To install Clickhouse Database Integration Server for Claude Desktop automatically via Smithery:
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
- Build package distributions:
This will create source and wheel distributions in the dist/
directory.
- Publish to PyPI:
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--token
orUV_PUBLISH_TOKEN
- Or username/password:
--username
/UV_PUBLISH_USERNAME
and--password
/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm
with this command:
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
This server cannot be installed
An MCP server implementation that enables Claude AI to interact with Clickhouse databases. Features include secure database connections, query execution, read-only mode support, and multi-query capabilities.