Snowflake MCP Service

Name: Snowflake MCP Service
Author: davidamom

@davidamom

代码仓库

基本信息

分类

数据库

许可证

MIT

传输方式

stdio

作者

davidamom

关于 Snowflake MCP Service

MCP server implementation for Snowflake integration

Snowflake MCP Service 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "snowflake-mcp": {
      "command": "python",
      "args": [
        "server.py"
      ]
    }
  }
}

Snowflake MCP Service 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Snowflake MCP Service?

The Snowflake MCP Service is a Model Context Protocol (MCP) server that provides access to Snowflake databases for any MCP-compatible client. It allows AI applications and tools to execute SQL queries on Snowflake, automatically manage database connections (connect, reconnect on timeout, close), and handle query results and errors safely, using either password or key pair authentication.

How to use Snowflake MCP Service?

Clone the repository, install dependencies with pip install -r requirements.txt, and create a .env file with your Snowflake credentials and authentication method. Then configure your MCP client (e.g., Claude Desktop) with the path to the Python interpreter and the server script, or use the provided Docker setup. The server starts automatically when invoked by the client; for testing you can run python server.py manually.

Key features of Snowflake MCP Service

Secure Snowflake database access
Automatic connection lifecycle management
Password and key pair authentication
SQL query execution and result processing
Export queries to CSV files
Compatible with any MCP-compliant client

Use cases of Snowflake MCP Service

Query Snowflake databases directly from an AI assistant like Claude
Export SQL query results to CSV files for further analysis
Enable natural language data exploration via MCP clients
Automate database reporting through conversational interfaces

FAQ from

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