# snowflake-mcp

> Use this tool when you need to interact with Snowflake databases using natural language, enabling AI agents to execute SQL queries and explore database schemas. It solves problems of complex query formulation and database navigation, providing a readonly interface for safe exploration. Ideal for use cases requiring ad-hoc data analysis, data discovery, and inspection of Snowflake databases.

Canonical page: https://skillsregistry.net/skills/faressoft-snowflake-mcp  
JSON: https://api.skillsregistry.net/v1/skills/faressoft-snowflake-mcp

## Description

Enables AI agents to execute SQL queries and explore Snowflake databases using natural language, with schema discovery, table inspection, and readonly mode.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c02tgg4yuz)
- **Repository:** <https://github.com/faressoft/snowflake-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": "faressoft-snowflake-mcp"
    }
  }
}
```

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