Hydrolix MCP Server

The Hydrolix MCP Server bridges AI assistants with the high‑performance analytical engine that powers Hydrolix. By exposing a small, well‑defined set of tools—, , and —the server allows conversational models to execute arbitrary SQL against a Hydrolix cluster while keeping the operation read‑only. This guarantees that an assistant can interrogate data safely, making it ideal for data exploration, reporting, and rapid prototyping in production environments.

For developers building AI‑augmented analytics workflows, the server removes the friction of writing custom connectors or handling authentication manually. Once configured with either a username/password pair or a service‑account token, the MCP server automatically manages connections to Hydrolix’s ClickHouse‑compatible query head. The health‑check endpoint () gives instant feedback on connectivity, enabling automated monitoring or graceful degradation if the cluster becomes unreachable.

Key capabilities are intentionally lightweight yet powerful. The tool accepts raw SQL, which gives developers full control over the query logic while the server enforces to prevent accidental data modification. The listing tools (, ) provide discovery of schema elements, enabling assistants to suggest or validate table names before a query is executed. By encouraging prompt‑level guidance—such as specifying database names, time ranges, and ordering—the server helps models generate efficient queries that leverage Hydrolix’s primary‑key optimizations for fast “latest‑N” or time‑window queries.

Real‑world scenarios include building an AI‑powered dashboard where a user asks, “Show me the last 24 hours of sales for product X,” and the assistant translates that into a concise, optimized SQL statement. Another use case is automated anomaly detection: an assistant can pull recent metrics, compute deviations, and flag outliers without exposing raw data to the model. In both cases, the MCP server’s read‑only guarantees and schema discovery make it safe to integrate directly into continuous delivery pipelines or customer support chatbots.

In summary, the Hydrolix MCP Server offers a secure, minimal‑overhead bridge between conversational AI and large‑scale analytical data. Its focus on read‑only access, schema introspection, and straightforward configuration makes it a standout choice for developers who need reliable data querying capabilities embedded within AI workflows.