# How to integrate Twelve data MCP with CrewAI ```json { "title": "How to integrate Twelve data MCP with CrewAI", "toolkit": "Twelve data", "toolkit_slug": "twelve_data", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/twelve_data/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/twelve_data/framework/crew-ai.md", "updated_at": "2026-05-06T08:32:25.929Z" } ``` ## 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 - [OpenAI Agents SDK](https://composio.dev/toolkits/twelve_data/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/twelve_data/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/twelve_data/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/twelve_data/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/twelve_data/framework/codex) - [OpenClaw](https://composio.dev/toolkits/twelve_data/framework/openclaw) - [Hermes](https://composio.dev/toolkits/twelve_data/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/twelve_data/framework/cli) - [Google ADK](https://composio.dev/toolkits/twelve_data/framework/google-adk) - [LangChain](https://composio.dev/toolkits/twelve_data/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/twelve_data/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/twelve_data/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/twelve_data/framework/llama-index) ## 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 | Tool slug | Name | Description | |---|---|---| | `TWELVE_DATA_COMMODITIES_LIST` | List Commodities | Tool to retrieve a list of supported commodities. use when you need all available commodities after obtaining a valid api key. | | `TWELVE_DATA_CRYPTOCURRENCIES` | List Cryptocurrencies | Tool to list all supported cryptocurrencies. use when you need the complete set of crypto symbols. use after obtaining a valid api key. | | `TWELVE_DATA_CURRENCY_CONVERSION` | Currency Conversion | Tool to convert an amount from one currency to another. use after confirming currency codes to retrieve real-time conversion. | | `TWELVE_DATA_DIVIDENDS` | Dividends | Tool to retrieve dividend payout history for a specified symbol. use when you need historical dividends over multiple years. | | `TWELVE_DATA_EARNINGS` | Earnings | Tool to retrieve earnings data including eps estimates and actuals. use when you need detailed earnings history for a selected stock symbol. | | `TWELVE_DATA_EPS_REVISIONS` | EPS Revisions | Tool to provide analysts’ revisions of a company’s future eps over the last week and month. use after confirming the stock symbol. | | `TWELVE_DATA_EPS_TREND_ACTION` | EPS Trend | Tool to retrieve historical eps trends for a specified company. use after selecting a stock symbol to view estimated vs actual eps and surprise indicators. returns a breakdown of eps actuals, estimates, differences, and surprise percentages. | | `TWELVE_DATA_ETFS_DIRECTORY` | ETFS Directory | Tool to fetch a daily updated list of exchange-traded funds sorted by total assets. use when you need a directory of etfs by exchange or country. | | `TWELVE_DATA_ETFS_FAMILY` | ETFS Family | Tool to fetch a comprehensive list of etfs by family. use when you need to list etfs managed by a specific investment company. | | `TWELVE_DATA_ETFS_TYPE` | Get ETF Types | Tool to retrieve etf categories by market, including types like 'equity precious metals'. use after confirming api key is set; no parameters are needed. | | `TWELVE_DATA_EXCHANGES` | List supported exchanges | Tool to retrieve a list of supported exchanges. use when you need all available stock and forex exchanges. | | `TWELVE_DATA_FOREX_PAIRS` | List supported forex pairs | Tool to retrieve a list of all supported forex currency pairs. use when exploring available forex pairs before making other forex data requests. | | `TWELVE_DATA_INDICES` | List market indices | Tool to retrieve a list of market indices. use when you need to fetch available indices filtered by country. | | `TWELVE_DATA_MUTUAL_FUNDS_FAMILY` | Mutual Funds Family | Tool to list all available mutual fund families. use when you need a comprehensive list of mutual fund families managed by investment companies after obtaining a valid api key. | | `TWELVE_DATA_MUTUAL_FUNDS_LIST` | Mutual Funds List | Tool to retrieve a daily updated list of mutual funds sorted by total assets. use when you need to enumerate available mutual funds for analysis. | | `TWELVE_DATA_OPTIONS_CHAIN_ACTION` | Options Chain | Tool to retrieve the options chain for a given symbol and optional expiration date. use when you need detailed option contract data and greeks. omitting date returns all expirations. | | `TWELVE_DATA_OPTIONS_EXPIRATION` | Options Expiration | Tool to retrieve available option expiration dates. use when exploring available expiration dates for a given options symbol. | | `TWELVE_DATA_QUOTE` | Quote | Tool to retrieve the latest market data for a specified symbol. use when you need a quick real-time quote after selecting a symbol. | | `TWELVE_DATA_STOCKS_LIST` | List Stocks | Tool to retrieve a list of stocks. use when you need to fetch securities with optional filtering by exchange, country, type, or symbol. | | `TWELVE_DATA_SYMBOL_SEARCH` | Symbol Search | Tool to search for financial instruments by symbol or company name. use when you need to discover available symbols before making further data requests. | | `TWELVE_DATA_TECHNICAL_INDICATORS` | Technical Indicators | Tool to fetch time-series data for a specific technical indicator. use when you have a symbol, interval, and indicator name. | | `TWELVE_DATA_TIME_SERIES` | Time Series | Tool to retrieve historical and real-time time series data for a specified symbol. use when you need to fetch price data over a time range after selecting a symbol. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Twelve data MCP server is an implementation of the Model Context Protocol that connects your AI agent to Twelve data. It provides structured and secure access so your agent can perform Twelve data operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Twelve data connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies **What's happening:** - composio connects your agent to 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 ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Twelve data MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Twelve data **What's happening:** - You create a Twelve data only session through Composio - Composio returns an MCP HTTP URL that exposes Twelve data tools ```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 ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["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 ## How to build Twelve data MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/twelve_data/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/twelve_data/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/twelve_data/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/twelve_data/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/twelve_data/framework/codex) - [OpenClaw](https://composio.dev/toolkits/twelve_data/framework/openclaw) - [Hermes](https://composio.dev/toolkits/twelve_data/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/twelve_data/framework/cli) - [Google ADK](https://composio.dev/toolkits/twelve_data/framework/google-adk) - [LangChain](https://composio.dev/toolkits/twelve_data/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/twelve_data/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/twelve_data/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/twelve_data/framework/llama-index) ## Related Toolkits - [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide. - [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions. - [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management. - [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly. - [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth. - [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone. - [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place. - [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations. - [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications. - [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities. - [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation. - [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place. - [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics. - [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses. - [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly. - [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place. - [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows. - [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free. ## Frequently Asked Questions ### 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)