How to integrate Twelve data MCP with LlamaIndex

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Introduction

This guide walks you through connecting Twelve data to LlamaIndex 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 LlamaIndex 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:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Twelve data
  • Connect LlamaIndex to the Twelve data MCP server
  • Build a Twelve data-powered agent using LlamaIndex
  • Interact with Twelve data through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built 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 you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Twelve data account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Twelve data

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID

Installing dependencies

pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv

Create a new Python project and install the necessary dependencies:

  • composio-llamaindex: Composio's LlamaIndex integration
  • llama-index: Core LlamaIndex framework
  • llama-index-llms-openai: OpenAI LLM integration
  • llama-index-tools-mcp: MCP client for LlamaIndex
  • python-dotenv: Environment variable management

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Twelve data access

Import modules

import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

Create a new file called twelve data_llamaindex_agent.py and import the required modules:

Key imports:

  • asyncio: For async/await support
  • Composio: Main client for Composio services
  • LlamaIndexProvider: Adapts Composio tools for LlamaIndex
  • ReActAgent: LlamaIndex's reasoning and action agent
  • BasicMCPClient: Connects to MCP endpoints
  • McpToolSpec: Converts MCP tools to LlamaIndex format

Load environment variables and initialize Composio

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_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")

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["twelve_data"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Twelve data actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Twelve data actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, twelve data)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Twelve data tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

What's happening here:

  • We're creating a direct terminal interface to chat with your Twelve data database
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are displayed in a clear, readable format

Define the main entry point

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Twelve data

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Twelve data, then start asking questions.

Complete Code

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

import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
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")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["twelve_data"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Twelve data actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Twelve data actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

Conclusion

You've successfully connected Twelve data to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Twelve data tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

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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 LlamaIndex?

Yes, you can. LlamaIndex 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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