# clickhouse-mcp

> Use this tool when you need to analyze large-scale US stock market data for cross-sectional quant analysis, as it provides a read-only MCP server with access to 1.49 billion rows of data using ClickHouse. It solves problems related to handling massive financial datasets and facilitates quantitative analysis. Ideal for use cases requiring fast and efficient data querying and analysis in a large-scale financial data context.

Canonical page: https://skillsregistry.net/skills/kevinkda-clickhouse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kevinkda-clickhouse-mcp

## Description

Read-only MCP server for large-scale cross-sectional quant analysis of US stock market data (1.49 billion rows) using ClickHouse.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ks8krlh3kj)
- **Repository:** <https://github.com/kevinkda/clickhouse-mcp>

## 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": "kevinkda-clickhouse-mcp"
    }
  }
}
```

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