# Hydrolix

> Use this tool when you need to analyze large-scale time-series data, such as log analysis, metrics exploration, or IoT data investigation, and want to execute efficient SQL queries on Hydrolix databases. It provides direct access to time-series data through ClickHouse SQL queries, with built-in safety guards and performance optimizations for efficient execution. Ideal for use cases where users need to query large datasets without writing complex database connection code.

Canonical page: https://skillsregistry.net/skills/hydrolix  
JSON: https://api.skillsregistry.net/v1/skills/hydrolix

## Description

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.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hydrolix)
- **Repository:** <https://github.com/hydrolix/mcp-hydrolix>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hydrolix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hydrolix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hydrolix/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt