# Local Snowflake MCP Server

> Use this tool when you need to interact with Snowflake databases using natural-language SQL queries, enabling secure local integration between large language models (LLMs) and enterprise data systems for database operations and analysis. It solves problems related to data access and analysis by providing a Python-based interface for Claude Desktop to query Snowflake databases. Ideal for use cases requiring secure, local, and intuitive database interactions, it takes natural-language queries as input and returns relevant data and insights as output.

Canonical page: https://skillsregistry.net/skills/asingh49-cmd-local-snowflake-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/asingh49-cmd-local-snowflake-mcp-server

## Description

Enables Claude Desktop to interact with Snowflake databases through natural-language SQL queries. Built in Python, it allows secure local integration between LLMs and enterprise data systems for database operations and analysis.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ct81nh8dmq)
- **Repository:** <https://github.com/asingh49-cmd/Local-Snowflake-MCP-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": "asingh49-cmd-local-snowflake-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asingh49-cmd-local-snowflake-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asingh49-cmd-local-snowflake-mcp-server/pull`

---
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
