How to integrate Twelve data MCP with CrewAI

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Introduction

This guide walks you through connecting Twelve data to CrewAI using the Composio tool router. By the end, you'll have a working Twelve data agent that can list all supported cryptocurrencies today, convert 100 usd to eur right now, show recent dividend payouts for aapl through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a Twelve data account through Composio's Twelve data MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Twelve data with

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Twelve data connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Twelve data
  • Build a conversational loop where your agent can execute Twelve data 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 Twelve data MCP server, and what's possible with it?

The Twelve data MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Twelve Data account. It provides structured and secure access to real-time and historical financial market data, so your agent can retrieve stock prices, analyze dividend and earnings history, explore ETFs, and perform currency conversions on your behalf.

  • Comprehensive market data access: Instantly pull up-to-date information on stocks, forex, cryptocurrencies, commodities, and indices to support analysis or decision-making.
  • Dividend and earnings insights: Retrieve detailed dividend payout history and earnings reports, including EPS estimates, actuals, and trend analysis for specific companies.
  • ETF exploration and categorization: Ask your agent to fetch directories of ETFs, sort by assets, family, or market, and explore various ETF types for in-depth portfolio research.
  • Real-time currency conversion: Effortlessly convert amounts between currencies using live exchange rates for accurate financial planning and reporting.
  • Cryptocurrency and commodity discovery: List all supported cryptocurrencies and commodities, helping you quickly identify available assets for further analysis or trading strategies.

Supported Tools & Triggers

Tools
Cash FlowTool to get company cash flow statement.
Consolidated Cash FlowTool to get raw consolidated cash flow statements.
List CommoditiesTool to retrieve a list of supported commodities.
Correlation CoefficientTool to fetch Pearson correlation coefficient between two series over a period.
List CountriesTool to retrieve a list of countries with ISO codes, names, capitals, and currencies.
Cross ListingsTool to retrieve cross-listed symbols for a security across multiple exchanges.
List CryptocurrenciesTool to list all supported cryptocurrencies.
List Cryptocurrency ExchangesTool to list supported cryptocurrency exchanges.
Currency ConversionTool to convert an amount from one currency to another.
DividendsTool to retrieve dividend payout history for a specified symbol.
EarningsTool to retrieve earnings data including EPS estimates and actuals.
EPS RevisionsTool to provide analysts’ revisions of a company’s future EPS over the last week and month.
EPS TrendTool to retrieve EPS trend estimates for a specified company.
ETFS DirectoryTool to fetch a daily updated list of exchange-traded funds sorted by total assets.
ETFS FamilyTool to fetch a comprehensive list of ETFs by family.
Get ETF TypesTool to retrieve ETF categories by market, including types like 'Equity Precious Metals'.
ETF WorldTool to fetch comprehensive ETF analytics (summary, performance, risk, composition).
ETF World CompositionTool to fetch global ETF composition details including sector, country, asset allocations, top holdings, and bond metrics.
ETF World RiskTool to get global ETF risk metrics.
List supported exchangesTool to retrieve a list of supported exchanges.
List supported forex pairsTool to retrieve a list of all supported forex currency pairs.
Get AD IndicatorTool to retrieve Accumulation/Distribution (AD) indicator data for a financial instrument.
Get API UsageTool to retrieve your current plan and remaining API credits.
Get APO (Absolute Price Oscillator)Tool to calculate the Absolute Price Oscillator (APO) for a financial instrument.
Get Aroon IndicatorTool to retrieve Aroon Indicator data for identifying market trends.
Balance SheetTool to retrieve a company's balance sheet (assets, liabilities, equity).
Balance Sheet ConsolidatedTool to get raw consolidated balance sheet data (assets, liabilities, equity) for a company.
Get Bollinger BandsTool to calculate Bollinger Bands (BBANDS) for a financial instrument.
Get BondsTool to retrieve a daily updated list of available bonds (fixed income securities).
Get CCITool to retrieve Commodity Channel Index (CCI) values for a specified security.
Get Ceiling (CEIL)Tool to retrieve the Ceiling (CEIL) transformation for a time series.
Get Chande Momentum OscillatorTool to retrieve Chande Momentum Oscillator (CMO) data for a security.
Get Detrended Price OscillatorTool to calculate the Detrended Price Oscillator (DPO) for a specified financial instrument.
Get Earliest TimestampTool to return the first available timestamp for a symbol and interval.
Get End of Day PriceTool to retrieve end of day (EOD) closing price and metadata for a financial instrument.
Global ETF PerformanceTool to get global ETF performance metrics (trailing and annual returns).
Get exchange scheduleTool to get trading sessions and hours for exchanges.
Get Fund HoldersTool to retrieve mutual fund holders for a company.
Get FundsTool to fetch a daily updated list of available investment funds.
Get Heikin Ashi CandlesTool to retrieve Heikin Ashi candlestick data that smooths price action by averaging values.
Get HLC3 AverageTool to calculate the High, Low, Close Average (HLC3) for a security over a specified period.
Get Hilbert Transform Sine WaveTool to fetch Hilbert Transform Sine Wave (HT_SINE) data for an instrument.
Get Ichimoku Cloud IndicatorTool to retrieve Ichimoku Kinko Hyo indicator data for analyzing trend direction, support/resistance levels, and trading opportunities.
Income StatementTool to retrieve a company's income statement data (annual or quarterly).
Insider TransactionsREQUIRES PRO, ULTRA, OR ENTERPRISE PLAN.
Get Available IntervalsTool to retrieve a list of available time intervals supported by the API.
Get Keltner ChannelTool to retrieve Keltner Channel indicator data for volatility-based technical analysis.
Key ExecutivesREQUIRES ULTRA OR ENTERPRISE PLAN.
Get Last ChangeTool to retrieve the latest update timestamps for a fundamentals dataset.
Get Linear Regression AngleTool to calculate the linear regression angle for a given time series of stock prices.
Get Linear Regression InterceptTool to calculate the y-intercept of a linear regression line for a given dataset.
Get Linear Regression SlopeTool to calculate the linear regression slope for a given dataset over a specified period.
Get Base-10 Logarithm (LOG10)Tool to compute the base-10 logarithm (LOG10) of a specified input value.
Get LogoTool to retrieve official logo URLs for a symbol.
Get MACDTool to calculate the Moving Average Convergence Divergence (MACD) for a specified financial instrument.
Get MAMATool to fetch MESA Adaptive Moving Average (MAMA) indicator data.
Market MoversTool to retrieve a snapshot of top gainers or losers for a specified market.
Get Market StateTool to report current open/closed status for exchanges.
Get Maximum ValueTool to calculate and return the highest value within a specified data series over a given period.
Get McGinley Dynamic IndicatorTool to calculate the McGinley Dynamic indicator, which provides a refined moving average that adapts to market volatility.
Get Median PriceTool to calculate and retrieve the Median Price (MEDPRICE) technical indicator for a security.
Get Minus Directional IndicatorTool to calculate and return the Minus Directional Indicator (MINUS_DI) for a security.
Global Mutual Fund PerformanceTool to get global mutual fund performance metrics (trailing, annual, quarterly, load-adjusted returns).
Mutual Funds World RiskTool to fetch global mutual fund risk metrics.
Global Mutual Fund SummaryTool to retrieve a global mutual fund summary snapshot.
Global Mutual Fund SustainabilityTool to get global mutual fund sustainability and ESG metrics.
Get Plus Directional IndicatorTool to fetch the Plus Directional Indicator (PLUS_DI) time series data for a security.
Get PriceTool to retrieve the latest market price for a specified financial instrument.
Price TargetTool to fetch analysts' price target dataset for equities.
Get ProfileTool to retrieve company profile.
RecommendationsRetrieve aggregated analyst recommendations for a stock.
Get Rate of Change (ROC)Tool to retrieve Rate of Change (ROC) indicator data for a security.
Get ROCP (Rate of Change Percentage)Tool to calculate and return the Rate of Change Percentage (ROCP) for a financial security.
Get ROCR100Tool to calculate the Rate of Change Ratio 100 (ROCR100) for a security.
Get Relative VolumeTool to fetch relative volume (RVOL) data for a security.
Stock SplitsTool to retrieve historical stock split events.
Splits CalendarTool to retrieve a calendar of stock split events.
Get StatisticsTool to retrieve key company statistics including valuation and financial overview.
Get Stochastic RSITool to calculate the Stochastic Relative Strength Index (Stochastic RSI) for a specified financial instrument.
Get Summation (SUM)Tool to calculate the cumulative total (Summation) of a specified data series over a defined time period.
Get Technical Indicators ListTool to retrieve a comprehensive list of available technical indicators.
Get TEMA (Triple Exponential Moving Average)Tool to calculate the Triple Exponential Moving Average (TEMA) for a financial instrument.
Get Variance (VAR)Tool to calculate the statistical variance of a financial data series.
Get Weighted Close PriceTool to calculate and retrieve the Weighted Close Price (WCLPRICE) for a security.
Get Weighted Moving Average (WMA)Tool to calculate and retrieve the Weighted Moving Average (WMA) for a security over a specified period.
List market indicesTool to retrieve a list of market indices.
Institutional HoldersTool to retrieve institutional holders positions for a company.
Mutual Funds FamilyTool to list all available mutual fund families.
Mutual Funds ListTool to retrieve a daily updated list of mutual funds sorted by total assets.
Mutual Funds World CompositionTool to fetch global mutual fund portfolio composition including sectors, asset allocation, top holdings, and bond metrics.
Options ChainTool to retrieve the options chain for a given symbol and optional expiration date.
Options ExpirationTool to retrieve available option expiration dates.
QuoteTool to retrieve the latest market data for a specified symbol.
List StocksTool to retrieve a list of stocks.
Symbol SearchTool to search for financial instruments by symbol or company name.
Technical IndicatorsTool to fetch time-series data for a specific technical indicator.
Time SeriesTool to retrieve historical and real-time time series data for a specified symbol.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Twelve data connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.

Install dependencies

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

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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

Import dependencies

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")
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 Twelve data MCP URL

Create a Composio Tool Router session for Twelve data

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["twelve_data"])

url = session.mcp.url
What's happening:
  • You create a Twelve data only session through Composio
  • Composio returns an MCP HTTP URL that exposes Twelve data tools

Initialize the MCP Server

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,
    )
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.

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

Here's the complete code to get you started with Twelve data and CrewAI:

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=["twelve_data"],
)
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 Twelve data through Composio's Tool Router. The agent can perform Twelve data 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

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FAQ

What are the differences in Tool Router MCP and Twelve data MCP?

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

Can I manage the permissions and scopes for Twelve data while using Tool Router?

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

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