How to integrate Twelve data MCP with Autogen

This guide walks you through connecting Twelve data to AutoGen 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 AutoGen 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.

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Twelve Data is a financial data API providing real-time and historical market data for stocks, forex, crypto, ETFs, and indices. It helps you access accurate, up-to-date financial information for analysis and automation.

97 Tools

Introduction

This guide walks you through connecting Twelve data to AutoGen 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 AutoGen 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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 Twelve data
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Twelve data tools
  • Run a live chat loop where you ask the agent to perform Twelve data 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 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.

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

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Twelve data account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

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.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Twelve data via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

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 Twelve data connections to use
5

Import dependencies and create Tool Router session

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 Twelve data session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["twelve_data"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Twelve data tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

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")}
)

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
7

Create the model client and agent

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 Twelve data assistant agent with MCP tools
    agent = AssistantAgent(
        name="twelve_data_assistant",
        description="An AI assistant that helps with Twelve data operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Twelve data tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Twelve data 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")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Twelve data 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

Complete Code

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

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 Twelve data session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["twelve_data"]
    )
    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 Twelve data assistant agent with MCP tools
        agent = AssistantAgent(
            name="twelve_data_assistant",
            description="An AI assistant that helps with Twelve data 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 Twelve data 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 Twelve data 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 Twelve data, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Twelve data action and event your agent gets out of the box.

Cash Flow

Tool to get company cash flow statement.

Consolidated Cash Flow

Tool to get raw consolidated cash flow statements.

List Commodities

Tool to retrieve a list of supported commodities.

Correlation Coefficient

Tool to fetch Pearson correlation coefficient between two series over a period.

List Countries

Tool to retrieve a list of countries with ISO codes, names, capitals, and currencies.

Cross Listings

Tool to retrieve cross-listed symbols for a security across multiple exchanges.

List Cryptocurrencies

Tool to list all supported cryptocurrencies.

List Cryptocurrency Exchanges

Tool to list supported cryptocurrency exchanges.

Currency Conversion

Tool to convert an amount from one currency to another.

Dividends

Tool to retrieve dividend payout history for a specified symbol.

Earnings

Tool to retrieve earnings data including EPS estimates and actuals.

EPS Revisions

Tool to provide analysts’ revisions of a company’s future EPS over the last week and month.

EPS Trend

Tool to retrieve EPS trend estimates for a specified company.

ETFS Directory

Tool to fetch a daily updated list of exchange-traded funds sorted by total assets.

ETFS Family

Tool to fetch a comprehensive list of ETFs by family.

Get ETF Types

Tool to retrieve ETF categories by market, including types like 'Equity Precious Metals'.

ETF World

Tool to fetch comprehensive ETF analytics (summary, performance, risk, composition).

ETF World Composition

Tool to fetch global ETF composition details including sector, country, asset allocations, top holdings, and bond metrics.

ETF World Risk

Tool to get global ETF risk metrics.

List supported exchanges

Tool to retrieve a list of supported exchanges.

List supported forex pairs

Tool to retrieve a list of all supported forex currency pairs.

Get AD Indicator

Tool to retrieve Accumulation/Distribution (AD) indicator data for a financial instrument.

Get API Usage

Tool 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 Indicator

Tool to retrieve Aroon Indicator data for identifying market trends.

Balance Sheet

Tool to retrieve a company's balance sheet (assets, liabilities, equity).

Balance Sheet Consolidated

Tool to get raw consolidated balance sheet data (assets, liabilities, equity) for a company.

Get Bollinger Bands

Tool to calculate Bollinger Bands (BBANDS) for a financial instrument.

Get Bonds

Tool to retrieve a daily updated list of available bonds (fixed income securities).

Get CCI

Tool 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 Oscillator

Tool to retrieve Chande Momentum Oscillator (CMO) data for a security.

Get Detrended Price Oscillator

Tool to calculate the Detrended Price Oscillator (DPO) for a specified financial instrument.

Get Earliest Timestamp

Tool to return the first available timestamp for a symbol and interval.

Get End of Day Price

Tool to retrieve end of day (EOD) closing price and metadata for a financial instrument.

Global ETF Performance

Tool to get global ETF performance metrics (trailing and annual returns).

Get exchange schedule

Tool to get trading sessions and hours for exchanges.

Get Fund Holders

Tool to retrieve mutual fund holders for a company.

Get Funds

Tool to fetch a daily updated list of available investment funds.

Get Heikin Ashi Candles

Tool to retrieve Heikin Ashi candlestick data that smooths price action by averaging values.

Get HLC3 Average

Tool to calculate the High, Low, Close Average (HLC3) for a security over a specified period.

Get Hilbert Transform Sine Wave

Tool to fetch Hilbert Transform Sine Wave (HT_SINE) data for an instrument.

Get Ichimoku Cloud Indicator

Tool to retrieve Ichimoku Kinko Hyo indicator data for analyzing trend direction, support/resistance levels, and trading opportunities.

Income Statement

Tool to retrieve a company's income statement data (annual or quarterly).

Insider Transactions

REQUIRES PRO, ULTRA, OR ENTERPRISE PLAN.

Get Available Intervals

Tool to retrieve a list of available time intervals supported by the API.

Get Keltner Channel

Tool to retrieve Keltner Channel indicator data for volatility-based technical analysis.

Key Executives

REQUIRES ULTRA OR ENTERPRISE PLAN.

Get Last Change

Tool to retrieve the latest update timestamps for a fundamentals dataset.

Get Linear Regression Angle

Tool to calculate the linear regression angle for a given time series of stock prices.

Get Linear Regression Intercept

Tool to calculate the y-intercept of a linear regression line for a given dataset.

Get Linear Regression Slope

Tool 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 Logo

Tool to retrieve official logo URLs for a symbol.

Get MACD

Tool to calculate the Moving Average Convergence Divergence (MACD) for a specified financial instrument.

Get MAMA

Tool to fetch MESA Adaptive Moving Average (MAMA) indicator data.

Market Movers

Tool to retrieve a snapshot of top gainers or losers for a specified market.

Get Market State

Tool to report current open/closed status for exchanges.

Get Maximum Value

Tool to calculate and return the highest value within a specified data series over a given period.

Get McGinley Dynamic Indicator

Tool to calculate the McGinley Dynamic indicator, which provides a refined moving average that adapts to market volatility.

Get Median Price

Tool to calculate and retrieve the Median Price (MEDPRICE) technical indicator for a security.

Get Minus Directional Indicator

Tool to calculate and return the Minus Directional Indicator (MINUS_DI) for a security.

Global Mutual Fund Performance

Tool to get global mutual fund performance metrics (trailing, annual, quarterly, load-adjusted returns).

Mutual Funds World Risk

Tool to fetch global mutual fund risk metrics.

Global Mutual Fund Summary

Tool to retrieve a global mutual fund summary snapshot.

Global Mutual Fund Sustainability

Tool to get global mutual fund sustainability and ESG metrics.

Get Plus Directional Indicator

Tool to fetch the Plus Directional Indicator (PLUS_DI) time series data for a security.

Get Price

Tool to retrieve the latest market price for a specified financial instrument.

Price Target

Tool to fetch analysts' price target dataset for equities.

Get Profile

Tool to retrieve company profile.

Recommendations

Retrieve 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 ROCR100

Tool to calculate the Rate of Change Ratio 100 (ROCR100) for a security.

Get Relative Volume

Tool to fetch relative volume (RVOL) data for a security.

Stock Splits

Tool to retrieve historical stock split events.

Splits Calendar

Tool to retrieve a calendar of stock split events.

Get Statistics

Tool to retrieve key company statistics including valuation and financial overview.

Get Stochastic RSI

Tool 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 List

Tool 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 Price

Tool 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 indices

Tool to retrieve a list of market indices.

Institutional Holders

Tool to retrieve institutional holders positions for a company.

Mutual Funds Family

Tool to list all available mutual fund families.

Mutual Funds List

Tool to retrieve a daily updated list of mutual funds sorted by total assets.

Mutual Funds World Composition

Tool to fetch global mutual fund portfolio composition including sectors, asset allocation, top holdings, and bond metrics.

Options Chain

Tool to retrieve the options chain for a given symbol and optional expiration date.

Options Expiration

Tool to retrieve available option expiration dates.

Quote

Tool to retrieve the latest market data for a specified symbol.

List Stocks

Tool to retrieve a list of stocks.

Symbol Search

Tool to search for financial instruments by symbol or company name.

Technical Indicators

Tool to fetch time-series data for a specific technical indicator.

Time Series

Tool to retrieve historical and real-time time series data for a specified symbol.

FRAMEWORKS

How to build Twelve data MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Twelve data MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Twelve data MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Twelve data MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Twelve data MCP with Claude Cowork

Codex logo

Codex

Use Twelve data MCP with Codex

OpenClaw logo

OpenClaw

Use Twelve data MCP with OpenClaw

Hermes logo

Hermes

Use Twelve data MCP with Hermes

CLI logo

CLI

Use Twelve data MCP with CLI

Google ADK logo

Google ADK

Use Twelve data MCP with Google ADK

LangChain logo

LangChain

Use Twelve data MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Twelve data MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Twelve data MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Twelve data MCP with LlamaIndex

CrewAI logo

CrewAI

Use Twelve data MCP with CrewAI

FAQ

Frequently asked questions

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.

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 Twelve data tools.

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.

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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agent.aiZoomLettaGleanHubSpotAWSWabi

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies