# mcp-clickhouse

> mcp-clickhouse — antonio-mello-ai-mcp-clickhouse. Use this tool when you need to manage and interact with ClickHouse databases through an MCP server, solving problems related to data management and analysis. It provides an interface for git-based version control, allowing for seamless integration with existing development workflows. Ideal for use cases involving big data, analytics, and data science applications.

Canonical page: https://skillsregistry.net/skills/antonio-mello-ai-mcp-clickhouse  
JSON: https://api.skillsregistry.net/v1/skills/antonio-mello-ai-mcp-clickhouse

## Description

MCP server for clickhouse

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/antonio-mello-ai/mcp-clickhouse)

## 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": "antonio-mello-ai-mcp-clickhouse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/antonio-mello-ai-mcp-clickhouse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/antonio-mello-ai-mcp-clickhouse/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