What are the prerequisites?
Python with the `uv` package manager, a running ClickHouse instance, and MCP server dependencies.
@dubin555
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A Model Context Protocol (MCP) server implementation for ClickHouse. It provides AI assistants with a secure and structured way to explore and analyze databases, allowing them to list tables, read data, and execute SQL queries through a controlled interface.
Configure via environment variables (CLICKHOUSE_HOST, CLICKHOUSE_PORT, CLICKHOUSE_USER, CLICKHOUSE_PASSWORD, CLICKHOUSE_DATABASE) or equivalent command-line arguments. Add the server to an MCP client (e.g., Cline extension in VS Code) using uv with the path to the server directory.
Python with the `uv` package manager, a running ClickHouse instance, and MCP server dependencies.
Set the environment variables `CLICKHOUSE_HOST`, `CLICKHOUSE_PORT`, `CLICKHOUSE_USER`, `CLICKHOUSE_PASSWORD`, and `CLICKHOUSE_DATABASE`, or pass them as command-line arguments (`--host`, `--port`, etc.).
Add the server configuration to your MCP client (e.g., the Cline extension in VS Code) using the provided JSON example with the `uv` command.
It connects to ClickHouse via HTTP on the default port 8123.
Yes, the server supports ClickHouse user/password authentication via the `CLICKHOUSE_USER` and `CLICKHOUSE_PASSWORD` settings.

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