Snowflake MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Snowflake through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"snowflake": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Snowflake Agent",
instructions:
"You help users interact with Snowflake " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Snowflake?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Snowflake MCP Server
Connect your Snowflake AI Data Cloud with your AI agent to radically accelerate the way you query large datasets and audit cloud data warehouses. Navigate through deep hierarchical trees of databases, tables, and internal stages natively by chatting with your IDE. Keep your SQL robust by validating commands directly against the live engine.
Mastra's agent abstraction provides a clean separation between LLM logic and Snowflake tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Execute Queries in Chat — Tell your bot to
execute_sqlbased on human prompts or test new complex table joins safely right inside Cursor or Claude - Map Infrastructures — Quickly retrieve spatial contexts by pulling
list_databases, traversing downwards throughlist_schemasto target specific columns - Audit Compute Cost — Keep a firm grip on active clusters running by auditing running instances using
list_warehouses - Diagnose Operations — Monitor long-tail data workloads or data engineering pipelines using the
get_query_statusmethod asynchronously
The Snowflake MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Snowflake to Mastra AI via MCP
Follow these steps to integrate the Snowflake MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Snowflake via MCP
Why Use Mastra AI with the Snowflake MCP Server
Mastra AI provides unique advantages when paired with Snowflake through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Snowflake without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Snowflake tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Snowflake + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Snowflake MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Snowflake, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Snowflake as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Snowflake on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Snowflake tools alongside other MCP servers
Snowflake MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Snowflake to Mastra AI via MCP:
execute_sql
Prefers read-only statements whenever possible. Executes a SQL query on Snowflake
get_query_status
Retrieves the status of an asynchronous query
list_databases
Lists all databases in the Snowflake account
list_schemas
Lists all schemas within a specific database
list_stages
Lists all internal and external stages
list_tables
Lists all tables within a specific schema
list_warehouses
Lists all virtual warehouses
Example Prompts for Snowflake in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Snowflake immediately.
"List all running virtual warehouses I can access in my Snowflake account."
"Write a query to grab the top 5 most engaged users from our schema and execute it."
"Retrieve the schema mapping for the MASTER_DB. I need to know all nested tables before doing table joints."
Troubleshooting Snowflake MCP Server with Mastra AI
Common issues when connecting Snowflake to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSnowflake + Mastra AI FAQ
Common questions about integrating Snowflake MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Snowflake with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Snowflake to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.