# Snowflake MCP Server

> Use this tool when you need to manage and orchestrate Snowflake data operations through a scalable and deployable Python FastAPI server. It solves problems related to data workflow automation, providing a seamless interface for inputs such as SQL queries and outputs like executed tasks and data results. Ideal for use cases requiring efficient data pipeline management, deploy it to Prefect Cloud for streamlined workflow orchestration.

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

## Description

Enables Snowflake data operations through a Python FastAPI server with Prefect orchestration, deployable to Prefect Cloud.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **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/sig7q2x9mo)
- **Repository:** <https://github.com/sandipsingha/mcp_snowflake>

## 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": "sandipsingha-mcp-snowflake"
    }
  }
}
```

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