Snowflake Server

Snowflake Server

Snowflake integration implementing read and (optional) write operations as well as insight tracking

isaacwasserman

Database Interaction
AI Integration Systems
Data & App Analysis
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README

Snowflake MCP Server

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Overview

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries with tools and intereacting with a memo of data insights presented as a resource.

Components

Resources

The server exposes a single dynamic resource:

  • memo://insights: A continuously updated data insights memo that aggregates discovered insights during analysis
    • Auto-updates as new insights are discovered via the append-insight tool

Tools

The server offers six core tools:

Query Tools

  • read_query

    • Execute SELECT queries to read data from the database
    • Input:
      • query (string): The SELECT SQL query to execute
    • Returns: Query results as array of objects
  • write_query (with --allow-write flag)

    • Execute INSERT, UPDATE, or DELETE queries
    • Input:
      • query (string): The SQL modification query
    • Returns: { affected_rows: number }
  • create_table (with --allow-write flag)

    • Create new tables in the database
    • Input:
      • query (string): CREATE TABLE SQL statement
    • Returns: Confirmation of table creation

Schema Tools

  • list_tables

    • Get a list of all tables in the database
    • No input required
    • Returns: Array of table names
  • describe-table

    • View column information for a specific table
    • Input:
      • table_name (string): Name of table to describe (can be fully qualified)
    • Returns: Array of column definitions with names and types

Analysis Tools

  • append_insight
    • Add new data insights to the memo resource
    • Input:
      • insight (string): data insight discovered from analysis
    • Returns: Confirmation of insight addition
    • Triggers update of memo://insights resource

Usage with Claude Desktop

Installing via Smithery

To install Snowflake Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp_snowflake_server --client claude

Installing via UVX

# Add the server to your claude_desktop_config.json
"mcpServers": {
  "snowflake_pip": {
      "command": "uvx",
      "args": [
          "mcp_snowflake_server",
          "--account",
          "the_account",
          "--warehouse",
          "the_warehouse",
          "--user",
          "the_user",
          "--password",
          "their_password",
          "--role",
          "the_role"
          "--database",
          "the_database",
          "--schema",
          "the_schema",
          # Optionally: "--allow_write" (but not recommended)
          # Optionally: "--log_dir", "/absolute/path/to/logs"
          # Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL"
          # Optionally: "--exclude_tools", "{tool name}", ["{other tool name}"]
      ]
  }
}

Installing locally

# Add the server to your claude_desktop_config.json
"mcpServers": {
  "snowflake_local": {
      "command": "uv",
      "args": [
          "--directory",
          "/absolute/path/to/mcp_snowflake_server",
          "run",
          "mcp_snowflake_server",
          "--account",
          "the_account",
          "--warehouse",
          "the_warehouse",
          "--user",
          "the_user",
          "--password",
          "their_password",
          "--role",
          "the_role"
          "--database",
          "the_database",
          "--schema",
          "the_schema",
          # Optionally: "--allow_write" (but not recommended)
          # Optionally: "--log_dir", "/absolute/path/to/logs"
          # Optionally: "--log_level", "DEBUG"/"INFO"/"WARNING"/"ERROR"/"CRITICAL"
          # Optionally: "--exclude_tools", "{tool name}", ["{other tool name}"]
      ]
  }
}

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