# Snowflake MCP Server

> Use this tool when you need to analyze Snowflake data using natural language queries, enabling non-technical users to ask business questions in plain English without requiring SQL knowledge. It solves the problem of data accessibility for users who are not familiar with SQL, providing an intuitive interface to retrieve insights from Gold-layer tables. The tool accepts plain English queries as input and returns relevant data outputs, making it ideal for business users who want to quickly extract insights from their Snowflake data.

Canonical page: https://skillsregistry.net/skills/mrjohn91-snowflake-mcp-server-agent  
JSON: https://api.skillsregistry.net/v1/skills/mrjohn91-snowflake-mcp-server-agent

## Description

Enables natural language queries against Snowflake Gold-layer tables through Claude Desktop, allowing users to ask business questions in plain English without SQL knowledge.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bv081ezum0)
- **Repository:** <https://github.com/MrJohn91/snowflake-mcp-server-agent>

## 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": "mrjohn91-snowflake-mcp-server-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrjohn91-snowflake-mcp-server-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrjohn91-snowflake-mcp-server-agent/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