# querywise-mcp

> querywise-mcp — kosminus-querywise-mcp. Use this tool when you need to enable large language models (LLMs) to query your databases using natural language, solving problems of data accessibility and complexity. It provides a business semantic layer, including glossary, metric definitions, and knowledge base, to facilitate intuitive querying. The querywise-mcp server and CLI take in natural language queries as input and output relevant data from your databases, grounded in your real schema.

Canonical page: https://skillsregistry.net/skills/kosminus-querywise-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kosminus-querywise-mcp

## Description

An MCP server (and a CLI) that lets an LLM query your databases in natural language through a business semantic layer — glossary, metric definitions, data dictionary, knowledge base, and example queries — grounded against your real schema.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/kosminus/querywise-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": "kosminus-querywise-mcp"
    }
  }
}
```

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