# How to integrate Marketstack MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Marketstack MCP with OpenAI Agents SDK",
  "toolkit": "Marketstack",
  "toolkit_slug": "marketstack",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/marketstack/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/marketstack/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:41:39.139Z"
}
```

## Introduction

This guide walks you through connecting Marketstack to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Marketstack agent that can get the latest price for aapl, show historical prices for tsla last month, list top gainers on nyse today through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Marketstack account through Composio's Marketstack MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Marketstack with

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

The Marketstack MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Marketstack account. It provides structured and secure access so your agent can perform Marketstack operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MARKETSTACK_GET_DIVIDENDS` | Get Dividends | Tool to retrieve stock dividend data for one or more ticker symbols from Marketstack API. Use when you need historical dividend payment information for stocks, including dividend amounts and payment dates. |
| `MARKETSTACK_GET_EOD` | Get End-of-Day Data | Tool to retrieve end-of-day (EOD) stock data for one or multiple ticker symbols. Returns OHLCV data (open, high, low, close, volume) along with adjusted prices, dividends, and split factors. Use when you need historical daily stock prices or market data analysis. |
| `MARKETSTACK_GET_EXCHANGE` | Get Exchange Info | Tool to retrieve detailed information for a specific stock exchange by its MIC (Market Identifier Code). Use when you need comprehensive information about an exchange including its location, status, and operational details. |
| `MARKETSTACK_GET_SPLITS` | Get Stock Splits | Tool to retrieve stock split data for one or more stock symbols from Marketstack. Use when you need historical split information including split factors and dates. |
| `MARKETSTACK_GET_TICKER_EOD_DATA` | Get Ticker EOD Data | Tool to retrieve end-of-day stock price data for a specific ticker symbol. Use when you need historical daily price information including open, high, low, close, volume, and adjusted values. |
| `MARKETSTACK_GET_TICKER_EOD_LATEST` | Get Ticker EOD Latest | Tool to retrieve end-of-day (EOD) stock data for the latest available date for a specific ticker. Use when you need the most recent trading day data for a stock symbol. |
| `MARKETSTACK_GET_TICKER_INFO` | Get Ticker Info | Tool to retrieve detailed information about stock tickers including exchange, sector, and industry data. Use when you need comprehensive company information for a ticker symbol. |
| `MARKETSTACK_LIST_CURRENCIES` | List Currencies | Tool to retrieve a list of all supported currencies from the Marketstack API. Use when you need to get information about available currencies for stock market data. |
| `MARKETSTACK_LIST_STOCK_EXCHANGES` | List Stock Exchanges | Tool to retrieve information about supported stock exchanges. Use when you need to list or search for stock exchanges from the 2700+ exchanges available in Marketstack. |
| `MARKETSTACK_LIST_TICKERS` | List Tickers | Tool to get a list of all supported stock tickers. Use when you need to obtain the full list of tickers supported by Marketstack or search for specific tickers. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

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- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [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.
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- [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.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
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- [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.

## Frequently Asked Questions

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

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

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

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

---
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