# io.github.hydrolix/mcp-hydrolix

> Use this tool when you need to query and analyze data stored in Hydrolix, solving problems related to data retrieval and insights. It provides an MCP server interface to input queries and receive output results, enabling efficient data exploration and decision-making. Ideal for use cases requiring fast and scalable data querying, such as data analytics and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/io-github-hydrolix-mcp-hydrolix  
JSON: https://api.skillsregistry.net/v1/skills/io-github-hydrolix-mcp-hydrolix

## Description

An MCP server to query Hydrolix

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.2.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.hydrolix%2Fmcp-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": "io-github-hydrolix-mcp-hydrolix"
    }
  }
}
```

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

---
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