# Snowflake

> Use this tool when you need to interact with Snowflake databases and leverage its data warehousing capabilities for complex data analysis and insights generation. It solves problems related to data exploration, automated reporting, and building AI-powered analytics tools by providing a standardized interface for executing SQL queries and managing database schema. The tool takes SQL queries and database management requests as inputs and outputs insights and analysis results, making it ideal for use cases that require AI-driven data analysis and business intelligence workflow integration.

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

## Description

This MCP server, developed by Isaac Wasserman, enables AI assistants like Claude to interact with Snowflake databases. Built in Python, it provides capabilities for executing SQL queries, managing database schema, and maintaining a dynamic insights memo. The implementation stands out by offering a standardized interface to Snowflake's powerful data warehousing capabilities, allowing AI systems to analyze and manipulate large-scale datasets. By connecting AI capabilities with enterprise data infrastructure, this server enables AI assistants to perform complex data analysis, generate insights, and interact with business intelligence workflows. It is particularly useful for data exploration tasks, automated reporting, and building AI-powered analytics tools that can leverage the full power of Snowflake's cloud data platform.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/isaacwasserman-snowflake)
- **Repository:** <https://github.com/isaacwasserman/mcp-snowflake-server>

## 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": "isaacwasserman-snowflake"
    }
  }
}
```

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