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.
curl -O https://raw.githubusercontent.com/Legolasan/snowflake_mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Legolasan/snowflake_mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/legolasan/snowflake_mcp/claude-md)<a href="https://agentmods.dev/instructions/legolasan/snowflake_mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/legolasan/snowflake_mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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 querieslist_tables: List tables in schemadescribe_table: Get table structurecheck_table_freshness: Monitor data recency
- Uses
snowflake-connector-pythonfor database connectivity - Implements MCP protocol via
mcpSDK
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:
- 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)}")]
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.
- 5d ago First seen · 236 lines · 1,446 tokens per session scan A 2483a754d83a
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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