# How to integrate Nasdaq MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Nasdaq MCP with OpenAI Agents SDK",
  "toolkit": "Nasdaq",
  "toolkit_slug": "nasdaq",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/nasdaq/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/nasdaq/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:19:51.814Z"
}
```

## Introduction

This guide walks you through connecting Nasdaq to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Nasdaq agent that can get real-time quote for aapl stock, show analyst ratings for tsla this week, retrieve dividend history for msft through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Nasdaq account through Composio's Nasdaq MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Nasdaq with

- [Claude Agent SDK](https://composio.dev/toolkits/nasdaq/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nasdaq/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nasdaq/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nasdaq/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nasdaq/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nasdaq/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/nasdaq/framework/cli)
- [Google ADK](https://composio.dev/toolkits/nasdaq/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/nasdaq/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/nasdaq/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nasdaq/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nasdaq/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nasdaq/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 Nasdaq
- Configure an AI agent that can use Nasdaq as a tool
- Run a live chat session where you can ask the agent to perform Nasdaq 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 Nasdaq MCP server, and what's possible with it?

The Nasdaq MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nasdaq Data Link account. It provides structured and secure access to real-time financial data, analyst ratings, dividend histories, and more, so your agent can fetch live quotes, analyze trends, retrieve historical performance, and power your financial insights automatically.
- Real-time stock quote retrieval: Instantly get up-to-the-second price quotes and market data for any supported symbol, enabling timely investment decisions and market monitoring.
- Analyst ratings and target price lookup: Access the latest analyst recommendations and price targets for specific symbols to inform your trading strategies and research.
- Historical dividend tracking: Retrieve detailed dividend history for any stock, supporting portfolio income analysis and historical return calculations.
- Table metadata and structure exploration: Let your agent fetch and understand datatable schemas, making it easy to build data-driven applications with accurate column definitions and sample data.
- Targeted data row and table queries: Pull specific rows or tables updated on certain dates, supporting custom research, analysis, and reporting workflows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NASDAQ_GET_ANALYST_RATINGS` | Get Analyst Ratings and Target Prices | Retrieves comprehensive analyst ratings and target price data for a stock symbol from Zacks Investment Research. Returns current and historical (1-3 months ago) rating counts across all rating categories (Strong Buy, Buy, Hold, Sell, Strong Sell), mean rating scores, and consensus target price estimates including mean, median, high, low, standard deviation, and revision counts. Also provides historical target price data with observation dates showing how analyst estimates have changed over time. Data sources: ZACKS/AR (analyst ratings) and ZACKS/TP (target prices historical data). |
| `NASDAQ_GET_DATATABLE` | Get Datatable Bulk Export | Tool to request a bulk export of a NASDAQ Data Link datatable. Returns a download link for a zipped CSV file containing the entire table data, bypassing the standard 10,000 row limit. Use this when you need to download large datasets in full. Check the response status: if 'fresh', the file is ready for download; if 'creating' or 'regenerating', wait and retry the request. The download link is valid for 30 minutes only. |
| `NASDAQ_GET_DATATABLE_METADATA` | Get Datatable Metadata | Tool to retrieve metadata for a NASDAQ Data Link datatable. Returns complete schema information including column definitions, data types, filterable columns, primary keys, premium status, and refresh schedule. Use when you need to understand the structure and availability of a datatable before querying its data. |
| `NASDAQ_GET_DIVIDEND_HISTORY` | Get Dividend Fundamentals | Retrieves quarterly dividend-related fundamentals for a specific stock ticker from SHARADAR SF1 database. Returns dividend metrics including DPS (dividend per share), dividend yield, payout ratio, and cash flow from dividends. Data is quarterly (dimension=ARQ) and sourced from company financial statements. Note: This endpoint accesses the premium SHARADAR SF1 database which may require subscription access. |
| `NASDAQ_GET_REAL_TIME_QUOTE` | Get Stock Price Data | Retrieves end-of-day historical stock price data for a specific ticker symbol from the QUOTEMEDIA database. Returns OHLC (Open, High, Low, Close) prices, volume, and dividend/split information. Note: This provides historical end-of-day data, not live real-time quotes. |
| `NASDAQ_GET_TABLE_ROW` | Get Table Row By Filter | Retrieves rows from a NASDAQ Data Link datatable by filtering on a specified column and value. This action queries NASDAQ Data Link datatables (e.g., SHARADAR/SF1 for fundamental data, SHARADAR/TICKERS for ticker metadata) and returns rows matching the filter criteria. The API may return multiple rows if the filter isn't unique (e.g., filtering ticker='AAPL' in SF1 returns multiple fiscal periods). Use the 'columns' parameter to limit returned fields. Common use cases: - Get fundamental data for a stock: datacode='SHARADAR', datatable_code='SF1', filter_column_name='ticker' - Get ticker metadata: datacode='SHARADAR', datatable_code='TICKERS', filter_column_name='ticker' - Get price data: datacode='SHARADAR', datatable_code='SEP', filter_column_name='ticker' |
| `NASDAQ_GET_TABLES_BY_DATE` | Get Datatables Updated on Specific Date | Retrieves Nasdaq Data Link datatables (databases) that were last updated on a specific date. This action fetches all available datatables from Nasdaq Data Link's catalog and filters them by their last update timestamp to return only those updated on the target date. Useful for discovering recently updated data sources. |

## Supported Triggers

None listed.

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

The Nasdaq MCP server is an implementation of the Model Context Protocol that connects your AI agent to Nasdaq. It provides structured and secure access so your agent can perform Nasdaq 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 Nasdaq 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 Nasdaq.
```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 nasdaq.
- The router checks the user's Nasdaq connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Nasdaq.
- This approach keeps things lightweight and lets the agent request Nasdaq tools only when needed during the conversation.
```python
# Create a Nasdaq Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["nasdaq"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Nasdaq
const session = await composio.create(userId as string, {
  toolkits: ['nasdaq'],
});
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 Nasdaq. "
        "Help users perform Nasdaq 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 Nasdaq. Help users perform Nasdaq 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=["nasdaq"]
)
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 Nasdaq. "
        "Help users perform Nasdaq 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: ['nasdaq'],
  });
  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 Nasdaq. Help users perform Nasdaq 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 Nasdaq MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Nasdaq.
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 Nasdaq MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/nasdaq/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/nasdaq/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/nasdaq/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/nasdaq/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/nasdaq/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/nasdaq/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/nasdaq/framework/cli)
- [Google ADK](https://composio.dev/toolkits/nasdaq/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/nasdaq/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/nasdaq/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/nasdaq/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/nasdaq/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/nasdaq/framework/crew-ai)

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- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.

## Frequently Asked Questions

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

With a standalone Nasdaq MCP server, the agents and LLMs can only access a fixed set of Nasdaq tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Nasdaq 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 Nasdaq tools.

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

Yes, absolutely. You can configure which Nasdaq 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 Nasdaq data and credentials are handled as safely as possible.

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