snowflake_mcp: Instructions file for Claude Code

CLAUDE.md

snowflake_mcp CLAUDE.md is an instructions file for Claude Code from Legolasan/snowflake_mcp. It costs 1,446 tokens per session, scanned A, original, MIT.

A project instruction document for a Snowflake MCP server, which lets an AI assistant interact with Snowflake data warehouses through MCP. It explains the repository structure and its four database tools.

In plain words
What is it for?
Use it when working on queries, table listings, table descriptions, data-freshness checks, configuration, or the server’s Python implementation.
Why use it?
It gives developers a quick reference for setup, connection testing, and how the server exposes Snowflake operations.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is Legolasan/snowflake_mcp's own configuration. It tells Claude Code how to work on snowflake_mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything snowflake_mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Legolasan/snowflake_mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Legolasan/snowflake_mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Legolasan/snowflake_mcp

Made for: Claude Code.

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README.md
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Per session 1,446 This file is loaded in full into every session.
When invoked 1,446 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01446 $0.01446
Opus 5 $0.00723 $0.00723
Sonnet 5 $0.00289 $0.00289
Haiku 4.5 $0.00145 $0.00145

Measured 5d ago against content hash 2483a754d83a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

snowflake_mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 236 lines

How it starts

The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code when working with the Snowflake MCP Server repository.

Repository Overview

This is a Model Context Protocol (MCP) server that enables Claude to interact with Snowflake data warehouses. It's a learning project demonstrating how to build custom MCP integrations for data engineering workflows.

Project Structure

snowflake-mcp/
├── server.py              # Main MCP server implementation
├── test_connection.py     # Connection testing utility
├── requirements.txt       # Python dependencies
├── .env.example          # Environment variable template
├── README.md             # User-facing documentation
├── QUICKSTART.md         # 5-minute setup guide
└── CLAUDE.md            # This file (Claude Code instructions)

Key Components

server.py

  • SnowflakeMCPServer class: Main server implementation
  • 4 MCP Tools:
    • query_snowflake: Execute SQL queries
    • list_tables: List tables in schema
    • describe_table: Get table structure
    • check_table_freshness: Monitor data recency
  • Uses snowflake-connector-python for database connectivity
  • Implements MCP protocol via mcp SDK

Architecture Patterns

  • Connection pooling: Single connection reused across tool calls
  • Environment-based config: Credentials from environment variables
  • Error handling: Try-catch blocks with user-friendly error messages
  • Security: Never commits credentials (.gitignore protects .env)

Working with This Repository

Adding New Tools

When users request new MCP tools, follow this pattern:

  1. Add tool function in SnowflakeMCPServer._setup_tools():
@self.app.call_tool()
async def my_new_tool(arguments: dict[str, Any]) -> list[TextContent]:
    """Tool description"""
    param = arguments.get("param_name")

    try:
        conn = self._get_connection()
        cursor = conn.cursor()
        cursor.execute("YOUR SQL")
        results = cursor.fetchall()

        return [TextContent(type="text", text=formatted_output)]
    except Exception as e:
        return [TextContent(type="text", text=f"Error: {str(e)}")]

Read the full file on GitHub · 236 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 236 lines · 1,446 tokens per session scan A 2483a754d83a

Subscribe to this mod's changes

snowflake_mcp CLAUDE.md is an instructions file published in the GitHub repository Legolasan/snowflake_mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 1,446 tokens to every session, about $0.0072 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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