# How to integrate Marketstack MCP with CrewAI

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

## Introduction

This guide walks you through connecting Marketstack to CrewAI 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 CrewAI 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)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Marketstack connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Marketstack
- Build a conversational loop where your agent can execute Marketstack operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## 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:
- Python 3.9 or higher
- A Composio account and API key
- A Marketstack connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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

**What's happening:**
- composio connects your agent to Marketstack via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Marketstack MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

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

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Marketstack

**What's happening:**
- You create a Marketstack only session through Composio
- Composio returns an MCP HTTP URL that exposes Marketstack tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["marketstack"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

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

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

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["marketstack"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Marketstack through Composio's Tool Router. The agent can perform Marketstack operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## 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)

## 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.
- [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.
- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
- [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.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [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 CrewAI?

Yes, you can. CrewAI 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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