Nasdaq Data Link MCP Server

What does “Nasdaq Data Link” MCP Server do?

The Nasdaq Data Link MCP (Model Context Protocol) Server is designed to connect AI assistants with the powerful Nasdaq Data Link financial data platform, thereby enabling seamless integration of financial data directly into AI-driven workflows. Acting as a bridge, this MCP server allows AI clients to access, retrieve, and interact with a wide range of financial datasets, including market prices, economic indicators, and other curated data. By exposing this information through standardized MCP resources and tools, developers can automate data retrieval, perform real-time analysis, and integrate financial information into their applications. This capability enhances development workflows, enabling tasks such as querying financial databases and integrating up-to-date market data into AI models or agentic applications.

List of Prompts

No information about prompt templates is available in the repository.

List of Resources

No explicit resource definitions are detailed in the repository files.

List of Tools

No detailed tool definitions are provided in the available repository files.

Use Cases of this MCP Server

• Financial Data Retrieval: Developers can automate the fetching of up-to-date market data from Nasdaq Data Link, streamlining portfolio management or algorithmic trading workflows.
• Market Analysis Automation: AI assistants can leverage the MCP server to access financial datasets for real-time market or economic analysis, enabling data-driven decision-making.
• Research Integration: Academic and professional researchers can pull economic indicators and historical market data into analysis pipelines, reducing manual data collection.
• Reporting and Visualization: Automated systems can retrieve financial data to generate periodic reports or dashboards for stakeholders, increasing efficiency.
• Data-driven Application Development: Application developers can integrate reliable financial data into fintech platforms, chatbots, or virtual assistants, enhancing user experience with timely information.

How to set it up

Windsurf

1. Prerequisites: Ensure Node.js and Windsurf are installed.
2. Locate Configuration: Open your Windsurf configuration file.
3. Add MCP Server: Insert the Nasdaq Data Link MCP Server to your mcpServers block:

   {
     "mcpServers": {
       "nasdaq-data-link": {
         "command": "npx",
         "args": ["@nasdaq-data-link/mcp-server@latest"]
       }
     }
   }
   

4. Save and Restart: Save the configuration file and restart Windsurf.
5. Verify: Confirm the server is running by checking the logs.

Securing API Keys:

{
  "mcpServers": {
    "nasdaq-data-link": {
      "env": {
        "NASDAQ_API_KEY": "your_api_key_here"
      },
      "inputs": {
        "api_key": "${NASDAQ_API_KEY}"
      }
    }
  }
}

Claude

1. Install Claude and Prerequisites: Ensure Claude is properly installed.
2. Open Configuration: Edit the Claude config file.
3. Register MCP Server:

   {
     "mcpServers": {
       "nasdaq-data-link": {
         "command": "npx",
         "args": ["@nasdaq-data-link/mcp-server@latest"]
       }
     }
   }
   

4. Restart Claude: Save changes and restart Claude.
5. Test Connection: Use Claude’s interface to verify MCP integration.

Cursor

1. Ensure Prerequisites: Install Node.js and Cursor.
2. Edit Configuration: Open your Cursor mcpServers configuration.
3. Add MCP Server:

   {
     "mcpServers": {
       "nasdaq-data-link": {
         "command": "npx",
         "args": ["@nasdaq-data-link/mcp-server@latest"]
       }
     }
   }
   

4. Restart Cursor: Save and restart.
5. Verify Operation: Confirm the MCP server is listed in Cursor.

Cline

1. Install Cline: Make sure Cline is installed.
2. Access Configuration: Open Cline’s MCP server configuration file.
3. Configure MCP Server:

   {
     "mcpServers": {
       "nasdaq-data-link": {
         "command": "npx",
         "args": ["@nasdaq-data-link/mcp-server@latest"]
       }
     }
   }
   

4. Save and Relaunch: Save and relaunch Cline.
5. Verify: Check that the server is active using Cline’s interface.

Note: Always secure your API keys using environment variables as illustrated above.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "nasdaq-data-link": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “nasdaq-data-link” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

A solid MCP server for financial data access, but currently limited public documentation on prompts, resources, or tools. Good for direct integration scenarios, but may require further exploration for complex workflows.

MCP Score