Hydrolix

Provides direct access to Hydrolix time-series databases through ClickHouse SQL queries, enabling AI assistants to explore and analyze large-scale time-series data stored in Hydrolix clusters. Built by Hydrolix, the server offers three core tools: listing databases and tables with schema information including comments and primary keys, and executing SELECT queries with built-in safety guards like read-only mode, query timeouts, and result limits. The implementation includes performance optimizations specifically for time-series workloads, encouraging queries with timestamp-based filters and LIMIT clauses to ensure efficient execution, making it valuable for log analysis, metrics exploration, IoT data investigation, and other time-series analytics use cases where users need to query large datasets without writing complex database connection code.

Source

Repository: https://github.com/hydrolix/mcp-hydrolix