How to connect Nasdaq to Claude Cowork

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.

This guide walks you through the easiest and most secure way to connect your Nasdaq account to Cowork via Composio Connect, enabling it to get real-time quote for AAPL stock, show analyst ratings for TSLA this week, retrieve dividend history for MSFT, and more such actions on your behalf without compromising your account security.

Connecting Nasdaq to Claude Cowork

1. Open Customize

In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.

2. Add the Composio MCP server

Click Add custom connector and paste in the Composio MCP server URL:

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.

With Composio Connect, Cowork can securely access apps like Nasdaq through MCP without you sharing account credentials directly with the agent.

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.