MCP Snow Tg MCP Server

A simple configuration file is used to create tooling for the various Cortex AI features. An example can be seen at

Local serverstdio

What is the MCP Snow Tg MCP server?

MCP Snow Tg MCP server exists for a simple reason — assistants are far more useful when they can act on MCP Snow Tg directly instead of describing what you should do. A simple configuration file is used to create tooling for the various Cortex AI features. An example can be seen at services/service_config.yaml and a template is below. Many Cortex Search and Cortex Analyst.

What the assistant can call

Once MCP Snow Tg is connected, these are the calls the assistant has available:

  • service_name — "<service_name>"
  • macOS — ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows — %APPDATA%\Claude\claude_desktop_config.json

Configuration and credentials

You will need 3 environment variables: SNOWFLAKE_PAT, SNOWFLAKE_ACCOUNT, SNOWFLAKE_USER. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Setting it up

Installation goes through your MCP client rather than a global install: point it at @modelcontextprotocol/inspector on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP Snow Tg's toolset — service_name, macOS, Windows — is a fair guide to whether it matches your workflow. It is maintained by sfc-gh-tgordonjr; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp snow tg mcp server does with a few real requests.

Available tools

ToolWhat it does
service_name"<service_name>"
macOS~/Library/Application Support/Claude/claude_desktop_config.json
Windows%APPDATA%\Claude\claude_desktop_config.json

How to install the MCP Snow Tg MCP server

{
  "mcpServers": {
    "mcp-server-snowflake": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/Snowflake-Labs/mcp",
        "mcp-server-snowflake",
        "--service-config-file",
        "<path to file>/service_config.yaml"
      ]
      "env": {
        "SNOWFLAKE_PAT": "<programmatic_access_token>",
        "SNOWFLAKE_ACCOUNT": "<account-identifier>",
        "SNOWFLAKE_USER": "<username>"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
SNOWFLAKE_PATConfiguration value read at startup.Optional
SNOWFLAKE_ACCOUNTConfiguration value read at startup.Optional
SNOWFLAKE_USERConfiguration value read at startup.Optional

Example prompts to try

  • Use MCP Snow Tg to service name.
  • Use MCP Snow Tg to macOS.
  • Use MCP Snow Tg to Windows.

Frequently asked questions

It connects MCP Snow Tg to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (service_name, macOS, Windows) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Snow Tg directly.