# How to integrate Nasdaq MCP with CrewAI ```json { "title": "How to integrate Nasdaq MCP with CrewAI", "toolkit": "Nasdaq", "toolkit_slug": "nasdaq", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/nasdaq/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/nasdaq/framework/crew-ai.md", "updated_at": "2026-05-12T10:19:51.814Z" } ``` ## Introduction This guide walks you through connecting Nasdaq to CrewAI using the Composio tool router. By the end, you'll have a working Nasdaq agent that can get real-time quote for aapl stock, show analyst ratings for tsla this week, retrieve dividend history for msft through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Nasdaq account through Composio's Nasdaq MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Nasdaq with - [OpenAI Agents SDK](https://composio.dev/toolkits/nasdaq/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/nasdaq/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/nasdaq/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/nasdaq/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/nasdaq/framework/codex) - [OpenClaw](https://composio.dev/toolkits/nasdaq/framework/openclaw) - [Hermes](https://composio.dev/toolkits/nasdaq/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/nasdaq/framework/cli) - [Google ADK](https://composio.dev/toolkits/nasdaq/framework/google-adk) - [LangChain](https://composio.dev/toolkits/nasdaq/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/nasdaq/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/nasdaq/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/nasdaq/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Nasdaq connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Nasdaq - Build a conversational loop where your agent can execute Nasdaq 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 Nasdaq MCP server, and what's possible with it? The Nasdaq MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Nasdaq Data Link account. It provides structured and secure access to real-time financial data, analyst ratings, dividend histories, and more, so your agent can fetch live quotes, analyze trends, retrieve historical performance, and power your financial insights automatically. - Real-time stock quote retrieval: Instantly get up-to-the-second price quotes and market data for any supported symbol, enabling timely investment decisions and market monitoring. - Analyst ratings and target price lookup: Access the latest analyst recommendations and price targets for specific symbols to inform your trading strategies and research. - Historical dividend tracking: Retrieve detailed dividend history for any stock, supporting portfolio income analysis and historical return calculations. - Table metadata and structure exploration: Let your agent fetch and understand datatable schemas, making it easy to build data-driven applications with accurate column definitions and sample data. - Targeted data row and table queries: Pull specific rows or tables updated on certain dates, supporting custom research, analysis, and reporting workflows. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `NASDAQ_GET_ANALYST_RATINGS` | Get Analyst Ratings and Target Prices | Retrieves comprehensive analyst ratings and target price data for a stock symbol from Zacks Investment Research. Returns current and historical (1-3 months ago) rating counts across all rating categories (Strong Buy, Buy, Hold, Sell, Strong Sell), mean rating scores, and consensus target price estimates including mean, median, high, low, standard deviation, and revision counts. Also provides historical target price data with observation dates showing how analyst estimates have changed over time. Data sources: ZACKS/AR (analyst ratings) and ZACKS/TP (target prices historical data). | | `NASDAQ_GET_DATATABLE` | Get Datatable Bulk Export | Tool to request a bulk export of a NASDAQ Data Link datatable. Returns a download link for a zipped CSV file containing the entire table data, bypassing the standard 10,000 row limit. Use this when you need to download large datasets in full. Check the response status: if 'fresh', the file is ready for download; if 'creating' or 'regenerating', wait and retry the request. The download link is valid for 30 minutes only. | | `NASDAQ_GET_DATATABLE_METADATA` | Get Datatable Metadata | Tool to retrieve metadata for a NASDAQ Data Link datatable. Returns complete schema information including column definitions, data types, filterable columns, primary keys, premium status, and refresh schedule. Use when you need to understand the structure and availability of a datatable before querying its data. | | `NASDAQ_GET_DIVIDEND_HISTORY` | Get Dividend Fundamentals | Retrieves quarterly dividend-related fundamentals for a specific stock ticker from SHARADAR SF1 database. Returns dividend metrics including DPS (dividend per share), dividend yield, payout ratio, and cash flow from dividends. Data is quarterly (dimension=ARQ) and sourced from company financial statements. Note: This endpoint accesses the premium SHARADAR SF1 database which may require subscription access. | | `NASDAQ_GET_REAL_TIME_QUOTE` | Get Stock Price Data | Retrieves end-of-day historical stock price data for a specific ticker symbol from the QUOTEMEDIA database. Returns OHLC (Open, High, Low, Close) prices, volume, and dividend/split information. Note: This provides historical end-of-day data, not live real-time quotes. | | `NASDAQ_GET_TABLE_ROW` | Get Table Row By Filter | Retrieves rows from a NASDAQ Data Link datatable by filtering on a specified column and value. This action queries NASDAQ Data Link datatables (e.g., SHARADAR/SF1 for fundamental data, SHARADAR/TICKERS for ticker metadata) and returns rows matching the filter criteria. The API may return multiple rows if the filter isn't unique (e.g., filtering ticker='AAPL' in SF1 returns multiple fiscal periods). Use the 'columns' parameter to limit returned fields. Common use cases: - Get fundamental data for a stock: datacode='SHARADAR', datatable_code='SF1', filter_column_name='ticker' - Get ticker metadata: datacode='SHARADAR', datatable_code='TICKERS', filter_column_name='ticker' - Get price data: datacode='SHARADAR', datatable_code='SEP', filter_column_name='ticker' | | `NASDAQ_GET_TABLES_BY_DATE` | Get Datatables Updated on Specific Date | Retrieves Nasdaq Data Link datatables (databases) that were last updated on a specific date. This action fetches all available datatables from Nasdaq Data Link's catalog and filters them by their last update timestamp to return only those updated on the target date. Useful for discovering recently updated data sources. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Nasdaq MCP server is an implementation of the Model Context Protocol that connects your AI agent to Nasdaq. It provides structured and secure access so your agent can perform Nasdaq 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 Nasdaq 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 Nasdaq 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 Nasdaq 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 Nasdaq **What's happening:** - You create a Nasdaq only session through Composio - Composio returns an MCP HTTP URL that exposes Nasdaq tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["nasdaq"]) 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=["nasdaq"], ) 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 Nasdaq through Composio's Tool Router. The agent can perform Nasdaq 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 Nasdaq MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/nasdaq/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/nasdaq/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/nasdaq/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/nasdaq/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/nasdaq/framework/codex) - [OpenClaw](https://composio.dev/toolkits/nasdaq/framework/openclaw) - [Hermes](https://composio.dev/toolkits/nasdaq/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/nasdaq/framework/cli) - [Google ADK](https://composio.dev/toolkits/nasdaq/framework/google-adk) - [LangChain](https://composio.dev/toolkits/nasdaq/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/nasdaq/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/nasdaq/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/nasdaq/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 Nasdaq MCP? With a standalone Nasdaq MCP server, the agents and LLMs can only access a fixed set of Nasdaq tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Nasdaq 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 Nasdaq tools. ### Can I manage the permissions and scopes for Nasdaq while using Tool Router? Yes, absolutely. You can configure which Nasdaq 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 Nasdaq data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)