# How to integrate Marketstack MCP with Autogen

```json
{
  "title": "How to integrate Marketstack MCP with Autogen",
  "toolkit": "Marketstack",
  "toolkit_slug": "marketstack",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/marketstack/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/marketstack/framework/autogen.md",
  "updated_at": "2026-03-29T06:41:39.139Z"
}
```

## Introduction

This guide walks you through connecting Marketstack to AutoGen 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 AutoGen 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/marketstack/framework/open-ai-agents-sdk)
- [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 required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Marketstack
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Marketstack tools
- Run a live chat loop where you ask the agent to perform Marketstack operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Marketstack. Instead of manually wiring Marketstack APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Marketstack account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Marketstack via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Marketstack connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Marketstack tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Marketstack session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["marketstack"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Marketstack tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Marketstack assistant agent with MCP tools
    agent = AssistantAgent(
        name="marketstack_assistant",
        description="An AI assistant that helps with Marketstack operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Marketstack tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Marketstack related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

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

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Marketstack session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["marketstack"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Marketstack assistant agent with MCP tools
        agent = AssistantAgent(
            name="marketstack_assistant",
            description="An AI assistant that helps with Marketstack operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Marketstack related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Marketstack through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Marketstack, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Marketstack MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/marketstack/framework/open-ai-agents-sdk)
- [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

- [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.
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- [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.
- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
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- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [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.
- [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.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [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.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [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 Autogen?

Yes, you can. Autogen 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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