# How to integrate Snowflake MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Snowflake MCP with OpenAI Agents SDK",
  "toolkit": "Snowflake",
  "toolkit_slug": "snowflake",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/snowflake/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/snowflake/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:26:42.921Z"
}
```

## Introduction

This guide walks you through connecting Snowflake to the OpenAI Agents SDK 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 OpenAI Agents SDK 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)
- [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)
- [Google ADK](https://composio.dev/toolkits/snowflake/framework/google-adk)
- [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 and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Snowflake
- Configure an AI agent that can use Snowflake as a tool
- Run a live chat session where you can ask the agent to perform Snowflake operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Snowflake project
- Some knowledge of Python or Typescript

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

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Snowflake.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only snowflake.
- The router checks the user's Snowflake connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Snowflake.
- This approach keeps things lightweight and lets the agent request Snowflake tools only when needed during the conversation.
```python
# Create a Snowflake Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["snowflake"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Snowflake
const session = await composio.create(userId as string, {
  toolkits: ['snowflake'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Snowflake. "
        "Help users perform Snowflake operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Snowflake. Help users perform Snowflake operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["snowflake"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Snowflake. "
        "Help users perform Snowflake operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['snowflake'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Snowflake. Help users perform Snowflake operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Snowflake MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Snowflake.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Snowflake MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/snowflake/framework/chatgpt)
- [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)
- [Google ADK](https://composio.dev/toolkits/snowflake/framework/google-adk)
- [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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)