ClickHouse MCP Server

The ClickHouse MCP server bridges the powerful analytical engine of ClickHouse with AI assistants such as Claude, enabling developers to query large-scale datasets directly from conversational interfaces. By exposing a set of high‑level tools, the server eliminates the need for custom database drivers or manual query pipelines, allowing an assistant to retrieve insights in real time without compromising security. This is particularly valuable for data‑driven teams that want to embed analytics into chat workflows, dashboards, or automated reports.

At its core, the server offers a trio of ClickHouse tools. The tool lets an assistant execute any read‑only SQL statement against a ClickHouse cluster, returning structured results that can be parsed or visualized. The and tools provide discovery capabilities, enabling the assistant to enumerate available schemas and tables before formulating queries. In addition, a dedicated chDB tool () taps into the chDB embedded ClickHouse engine, allowing queries to be run against data sourced directly from files, URLs, or other databases—effectively bypassing traditional ETL steps.

The server’s health‑check endpoint () offers a simple yet robust way to monitor connectivity. A successful response includes the ClickHouse version, confirming that the assistant can communicate with the backend; a indicates connection issues. This endpoint is useful for both automated monitoring and debugging during development.

Integration with AI workflows is seamless: developers configure the MCP server in Claude’s desktop settings, specifying connection details such as host, port, and credentials. Once registered, the assistant can invoke any of the exposed tools via natural language prompts—e.g., “Show me the sales totals for last quarter” triggers a call. Because all queries run with , the risk of accidental data modification is mitigated, making it safe for production use.

Unique advantages of this MCP server include its dual support for both native ClickHouse and chDB, giving teams flexibility to choose between a managed cluster or an embedded engine for local experimentation. The read‑only enforcement, combined with straightforward health checks and schema discovery tools, positions the ClickHouse MCP server as a reliable, secure, and developer‑friendly bridge between conversational AI and high‑performance analytical databases.