How to integrate Twelve data MCP with Pydantic AI

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Introduction

This guide walks you through connecting Twelve data to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Twelve data
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Twelve data workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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 with an active API key
  • Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Twelve data
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Twelve data
  • MCPServerStreamableHTTP connects to the Twelve data MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Twelve data
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["twelve_data"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Twelve data tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
twelve_data_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[twelve_data_mcp],
    instructions=(
        "You are a Twelve data assistant. Use Twelve data tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Twelve data endpoint
  • The agent uses GPT-5 to interpret user commands and perform Twelve data operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Twelve data.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Twelve data API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Twelve data
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["twelve_data"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    twelve_data_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[twelve_data_mcp],
        instructions=(
            "You are a Twelve data assistant. Use Twelve data tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Twelve data.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Twelve data through Composio's Tool Router. With this setup, your agent can perform real Twelve data actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Twelve data for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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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 Pydantic AI?

Yes, you can. Pydantic AI 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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