# How to integrate Snowflake MCP with Google ADK

```json
{
  "title": "How to integrate Snowflake MCP with Google ADK",
  "toolkit": "Snowflake",
  "toolkit_slug": "snowflake",
  "framework": "Google ADK",
  "framework_slug": "google-adk",
  "url": "https://composio.dev/toolkits/snowflake/framework/google-adk",
  "markdown_url": "https://composio.dev/toolkits/snowflake/framework/google-adk.md",
  "updated_at": "2026-05-12T10:26:42.921Z"
}
```

## Introduction

This guide walks you through connecting Snowflake to Google ADK using the Composio tool router. By the end, you'll have a working Snowflake agent that can run a sql query to list today's new users, cancel a long-running data import statement, show all unresolved incidents in snowflake through natural language commands.
This guide will help you understand how to give your Google ADK agent real control over a Snowflake account through Composio's Snowflake MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Snowflake with

- [ChatGPT](https://composio.dev/toolkits/snowflake/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/snowflake/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/snowflake/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/snowflake/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/snowflake/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/snowflake/framework/codex)
- [Cursor](https://composio.dev/toolkits/snowflake/framework/cursor)
- [VS Code](https://composio.dev/toolkits/snowflake/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/snowflake/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/snowflake/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/snowflake/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/snowflake/framework/cli)
- [LangChain](https://composio.dev/toolkits/snowflake/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/snowflake/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/snowflake/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/snowflake/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/snowflake/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get a Snowflake account set up and connected to Composio
- Install the Google ADK and Composio packages
- Create a Composio Tool Router session for Snowflake
- Build an agent that connects to Snowflake through MCP
- Interact with Snowflake using natural language

## What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.
Key features include:
- Gemini Integration: Native support for Google's Gemini models
- MCP Toolset: Built-in support for Model Context Protocol tools
- Streamable HTTP: Connect to external services through streamable HTTP
- CLI and Web UI: Run agents via command line or web interface

## What is the Snowflake MCP server, and what's possible with it?

The Snowflake MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Snowflake account. It provides structured and secure access to your cloud data warehouse, so your agent can run complex SQL queries, monitor system health, check scheduled maintenances, and manage incidents seamlessly—no manual intervention needed.
- Automated SQL execution and data retrieval: Direct your agent to execute SQL statements and instantly fetch query results from your data warehouse.
- Query management and cancellation: Have your agent monitor and cancel long-running or stuck SQL statements to keep your workflows running smoothly.
- Maintenance and system status monitoring: Let your agent check for active, upcoming, or completed scheduled maintenances and get real-time updates on system components.
- Incident detection and reporting: Enable your agent to retrieve unresolved incidents and receive summaries of any issues currently affecting your Snowflake environment.
- Integration metadata access: Fetch details about catalog integrations and system status rollups so your agent can keep tabs on the overall health of your Snowflake setup.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SNOWFLAKE_CANCEL_STATEMENT_EXECUTION` | Cancel Statement Execution | Cancels the execution of a running SQL statement. Use this action to stop a long-running query. |
| `SNOWFLAKE_CHECK_STATEMENT_STATUS` | Check Statement Status | Retrieves the status and results of a previously submitted SQL statement using its statement handle. Use this to poll async queries submitted via SNOWFLAKE_SUBMIT_SQL_STATEMENT; call repeatedly until status is no longer pending. Use SNOWFLAKE_CANCEL_STATEMENT to abort a hanging query. |
| `SNOWFLAKE_EXECUTE_SQL` | Execute SQL | Execute SQL statements in Snowflake and retrieve results. Supports SELECT queries for data retrieval, DDL statements (CREATE, ALTER, DROP) for schema management, and DML statements (INSERT, UPDATE, DELETE) for data modification. Returns comprehensive result metadata including column types, row counts, and execution status. Unquoted SQL identifiers are auto-uppercased by Snowflake — use matching case in `database`, `schema_name`, `warehouse`, and `role` parameters to avoid 'object not found' errors. Always apply explicit time-range filters and a LIMIT clause to unbounded SELECT queries to prevent large, slow result sets. |
| `SNOWFLAKE_FETCH_CATALOG_INTEGRATION` | Fetch Catalog Integration | Retrieves detailed configuration and metadata for a specific catalog integration. Catalog integrations allow Snowflake to connect to external Apache Iceberg catalogs (AWS Glue, Snowflake Open Catalog/Polaris, or Apache Iceberg REST catalogs) to query Iceberg tables managed by those external systems. |
| `SNOWFLAKE_GET_ACTIVE_SCHEDULED_MAINTENANCES` | Get Active Scheduled Maintenances | Retrieves a list of any active scheduled maintenances currently in the In Progress or Verifying state. |
| `SNOWFLAKE_GET_ALL_SCHEDULED_MAINTENANCES` | Get All Scheduled Maintenances | Retrieves a list of the 50 most recent scheduled maintenances, including those in the Completed state. |
| `SNOWFLAKE_GET_COMPONENT_STATUS` | Get Component Status | Retrieves the status of individual components, each listed with its current status. |
| `SNOWFLAKE_GET_STATUS_ROLLUP` | Get Status Rollup | Retrieves the status rollup for the entire page, including indicators and human-readable descriptions of the blended component status. |
| `SNOWFLAKE_GET_STATUS_SUMMARY` | Get Status Summary | Retrieves the current status summary from Snowflake's public status page (status.snowflake.com). Returns overall system status, operational status of all regional components (AWS, Azure, GCP regions), any unresolved incidents, and upcoming or in-progress scheduled maintenances. This is a public endpoint that provides global Snowflake service status, not account-specific information. |
| `SNOWFLAKE_GET_UNRESOLVED_INCIDENTS` | Get Unresolved Incidents | Retrieves a list of any unresolved incidents from the Snowflake status page. This endpoint returns incidents currently in the Investigating, Identified, or Monitoring state. Returns an empty list if there are no active incidents. This is a public status page API that does not require authentication. |
| `SNOWFLAKE_GET_UPCOMING_SCHEDULED_MAINTENANCES` | Get Upcoming Scheduled Maintenances | Retrieves upcoming scheduled maintenances from Snowflake's public status page. This action queries the Snowflake status API to get a list of any scheduled maintenance events that are still in the 'Scheduled' state (not yet started or completed). The response includes maintenance details such as impact level, scheduled time windows, incident updates, and direct links to the maintenance notices. Note: This uses Snowflake's public status API and does not require authentication. |
| `SNOWFLAKE_SHOW_DATABASES` | Show Databases | Lists all databases for which you have access privileges. Shows database metadata including name, creation date, owner, retention time, and more. Can filter results and include dropped databases within Time Travel retention period. |
| `SNOWFLAKE_SHOW_SCHEMAS` | Show Schemas | Lists all schemas for which you have access privileges. Shows schema metadata including name, creation date, owner, database, retention time, and more. Can filter results and include dropped schemas within Time Travel retention period. |
| `SNOWFLAKE_SHOW_TABLES` | Show Tables | Lists all tables for which you have access privileges. Shows table metadata including name, creation date, owner, database, schema, row count, size in bytes, clustering keys, and more. Can filter results and include dropped tables within Time Travel retention period. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Snowflake MCP server is an implementation of the Model Context Protocol that connects your AI agent to Snowflake. It provides structured and secure access so your agent can perform Snowflake operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- A Google API key for Gemini models
- A Composio account and API key
- Python 3.9 or later installed
- Basic familiarity with Python

### 1. Getting API Keys for Google and Composio

Google API Key
- Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and create an API key.
- Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
- Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

### 2. Install dependencies

Inside your virtual environment, install the required packages.
What's happening:
- google-adk is Google's Agents Development Kit
- composio connects your agent to Snowflake via MCP
- python-dotenv loads environment variables
```bash
pip install google-adk composio python-dotenv
```

### 3. Set up ADK project

Set up a new Google ADK project.
What's happening:
- This creates an agent folder with a root agent file and .env file
```bash
adk create my_agent
```

### 4. Set environment variables

Save all your credentials in the .env file.
What's happening:
- GOOGLE_API_KEY authenticates with Google's Gemini models
- COMPOSIO_API_KEY authenticates with Composio
- COMPOSIO_USER_ID identifies the user for session management
```bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email
```

### 5. Import modules and validate environment

What's happening:
- os reads environment variables
- Composio is the main Composio SDK client
- GoogleProvider declares that you are using Google ADK as the agent runtime
- Agent is the Google ADK LLM agent class
- McpToolset lets the ADK agent call MCP tools over HTTP
```python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
```

### 6. Create Composio client and Tool Router session

What's happening:
- Authenticates to Composio with your API key
- Declares Google ADK as the provider
- Spins up a short-lived MCP endpoint for your user and selected toolkit
- Stores the MCP HTTP URL for the ADK MCP integration
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["snowflake"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
```

### 7. Set up the McpToolset and create the Agent

What's happening:
- Connects the ADK agent to the Composio MCP endpoint through McpToolset
- Uses Gemini as the model powering the agent
- Lists exact tool names in instruction to reduce misnamed tool calls
```python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Snowflake operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

### 8. Run the agent

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.
What's happening:
- adk run runs the agent in CLI mode
- adk web . opens a web UI for interactive testing
```bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
```

## Complete Code

```python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["snowflake"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Snowflake operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

## Conclusion

You've successfully integrated Snowflake with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Snowflake using natural language commands.
Key takeaways:
- The Tool Router approach dynamically routes requests to the appropriate Snowflake tools
- Environment variables keep your credentials secure and separate from code
- Clear agent instructions reduce tool calling errors
- The ADK web UI provides an interactive interface for testing and development
You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

## How to build Snowflake MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/snowflake/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/snowflake/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/snowflake/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/snowflake/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/snowflake/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/snowflake/framework/codex)
- [Cursor](https://composio.dev/toolkits/snowflake/framework/cursor)
- [VS Code](https://composio.dev/toolkits/snowflake/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/snowflake/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/snowflake/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/snowflake/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/snowflake/framework/cli)
- [LangChain](https://composio.dev/toolkits/snowflake/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/snowflake/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/snowflake/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/snowflake/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/snowflake/framework/crew-ai)

## Related Toolkits

- [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources.
- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
- [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows.
- [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research.
- [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data.
- [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights.
- [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly.
- [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools.
- [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping.
- [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights.
- [Coinmarketcal](https://composio.dev/toolkits/coinmarketcal) - CoinMarketCal is a community-powered crypto calendar for upcoming events, announcements, and releases. It helps traders track market-moving developments and stay ahead in the crypto space.
- [Control d](https://composio.dev/toolkits/control_d) - Control d is a customizable DNS filtering and traffic redirection platform. It helps you manage internet access, enforce policies, and monitor usage across devices and networks.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Databricks](https://composio.dev/toolkits/databricks) - Databricks is a unified analytics platform for big data and AI on the lakehouse architecture. It empowers data teams to collaborate, analyze, and build scalable solutions efficiently.
- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries.
- [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business.
- [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.
- [Fireflies](https://composio.dev/toolkits/fireflies) - Fireflies.ai is an AI-powered meeting assistant that records, transcribes, and analyzes voice conversations. It helps teams capture call notes automatically and search or summarize meetings effortlessly.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Snowflake MCP?

With a standalone Snowflake MCP server, the agents and LLMs can only access a fixed set of Snowflake tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Snowflake and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Google ADK?

Yes, you can. Google ADK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Snowflake tools.

### Can I manage the permissions and scopes for Snowflake while using Tool Router?

Yes, absolutely. You can configure which Snowflake scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Snowflake data and credentials are handled as safely as possible.

---
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