3,400+ MCP servers ready to use
Vinkius

Snowflake MCP Server for Google ADKGive Google ADK instant access to 11 tools to Cancel Sql, Describe Table, Execute Sql, and more

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Snowflake as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Ask AI about this App Connector for Google ADK

The Snowflake app connector for Google ADK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="snowflake_alternative_agent",
    instruction=(
        "You help users interact with Snowflake "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
Snowflake
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 account to any AI agent to automate your data cloud operations and analytical workflows. Snowflake provides a premier platform for data warehousing and analysis, and this integration allows you to execute SQL statements, browse database schemas, and monitor session contexts through natural conversation.

Google ADK natively supports Snowflake as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

  • SQL Query Orchestration — Execute any SQL statement programmatically and retrieve real-time data results for immediate analysis.
  • Database & Schema Oversight — List and search through databases, schemas, and tables to maintain a clear overview of your data architecture directly from the AI interface.
  • Warehouse & Resource Control — Access and monitor available warehouses and user roles to ensure your analytical environment is properly configured.
  • Metadata Intelligence — Describe table structures and retrieve session context metadata via natural language commands to facilitate data exploration.
  • Operational Monitoring — Track statement execution status and cancel long-running queries to ensure your data cloud resources are used efficiently.

The Snowflake MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Snowflake tools available for Google ADK

When Google ADK connects to Snowflake through Vinkius, your AI agent gets direct access to every tool listed below — spanning sql-query, data-warehousing, cloud-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

cancel_sql

Cancel a running SQL statement

describe_table

Get table schema details

execute_sql

Returns the first partition of results or a handle for long-running queries. Execute a SQL statement in Snowflake

get_session_context

Get current session context

get_statement_status

Check the status of a SQL statement

list_databases

List all accessible databases

list_roles

List security roles

list_schemas

List schemas in a database

list_tables

List tables in a schema or database

list_users

List Snowflake users

list_warehouses

List compute warehouses

Connect Snowflake to Google ADK via MCP

Follow these steps to wire Snowflake into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 11 tools from Snowflake via MCP

Why Use Google ADK with the Snowflake MCP Server

Google ADK provides unique advantages when paired with Snowflake through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Snowflake

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Snowflake tools with BigQuery, Vertex AI, and Cloud Functions

Snowflake + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Snowflake MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Snowflake and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Snowflake tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Snowflake regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Snowflake

Example Prompts for Snowflake in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Snowflake immediately.

01

"List all tables in the 'SALES' schema of the 'PROD' database."

02

"Show me the warehouse usage and query performance metrics for all active Snowflake warehouses."

03

"Run a SQL query to get the top 10 customers by revenue from the sales table this quarter."

Troubleshooting Snowflake MCP Server with Google ADK

Common issues when connecting Snowflake to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Snowflake + Google ADK FAQ

Common questions about integrating Snowflake MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.