Integrate Snowflake with Claude, Cursor, Chatbots & AI Agents MCP Server

Bring your absolute data cloud into your AI editor. Execute queries, list warehouses, and map complex schemas natively.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

execute

Execute sql on Snowflake

Prefers read-only statements whenever possible. Executes a SQL query on Snowflake

get

Get query status on Snowflake

Retrieves the status of an asynchronous query

list

List databases on Snowflake

Lists all databases in the Snowflake account

list

List schemas on Snowflake

Lists all schemas within a specific database

list

List stages on Snowflake

Lists all internal and external stages

list

List tables on Snowflake

Lists all tables within a specific schema

list

List warehouses on Snowflake

Lists all virtual warehouses

Security & Code Integrity Audit

Every tool in the Snowflake MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

Is it completely safe to give AI power over a Data Warehouse?

Safety stems from principle of least privilege. Supply a Snowflake Token tied strictly to a read-only role or a heavily scoped down service account. This allows the AI to navigate schemas and extract data without risking destructive schema mutations like DROPs or DELETEs.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

What can AI Agents do with Snowflake?

We map standard API endpoints to agent-compatible instructions. Connect Snowflake to execute these core functional operations.

AI-Driven sql warehouse Workflows

Integrate Snowflake to access native sql warehouse capabilities. This allows LLMs to perform secure, deterministic execution of industry titans tasks without hard-coded API scripts.

Connecting data cloud with Cursor

Deploy the Snowflake toolkit to manage data cloud. The integration offers robust endpoints for ChatGPT to control industry titans settings.