Skip to main content

Snowflake MCP Server

smithery badge PyPI - Version

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"
      ]
  }
}

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"
      ]
  }
}

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_snowflake_server-0.1.4.tar.gz (19.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_snowflake_server-0.1.4-py3-none-any.whl (20.6 kB view details)

Uploaded Python 3

File details

Details for the file mcp_snowflake_server-0.1.4.tar.gz.

File metadata

  • Download URL: mcp_snowflake_server-0.1.4.tar.gz
  • Upload date:
  • Size: 19.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for mcp_snowflake_server-0.1.4.tar.gz
Algorithm Hash digest
SHA256 f3f696d9113f30081e5c24d2f69c82a83d394a4e8853e4259e14829bfc581309
MD5 9fb4599107d61e7b5ee46f40f207c267
BLAKE2b-256 905a6ff8c09ebea3c47c076db83bfa78f3c3471015e8cd99ea899f768f1eb42c

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcp_snowflake_server-0.1.4.tar.gz:

Publisher: python-publish.yml on isaacwasserman/mcp-snowflake-server

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mcp_snowflake_server-0.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_snowflake_server-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9212b302c1005ff9acfc1a3017b81db0e11ee32e18e578f7a0638857b99a9465
MD5 137f38f43348a4d838cb912cfaa59e96
BLAKE2b-256 0549c7b0a3c43691f0dcf611c2adbcc77790a1a4b2899cb025eeb17e486840cc

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcp_snowflake_server-0.1.4-py3-none-any.whl:

Publisher: python-publish.yml on isaacwasserman/mcp-snowflake-server

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page