esents relevant balance sheet items* > **You:** How has Microsoft's free cash flow and capital expenditure changed over the past year? > **Claude:** *calls `get_cash_flow_data(symbol="MSFT", dimension="MRY")` and analyzes free cash flow trends* > **You:** Has Tesla had any stock splits in the last two years? > **Claude:** *calls `get_corporate_action_data(symbol="TSLA", action="split")` and presents the split history* > **You:** What industry and sector is AMD in, and where is the company located? > **Claude:** *calls `get_company_reference_data(symbol="AMD")` and presents industry, sector, and location information* > **You:** Can you find information about mutual funds that are open-ended? > **Claude:** *calls `get_fund_master_report(investment_company_type="N-1A")` and returns the fund information* --- ## 📦 Installation ### 1. Clone the Repository ```bash git clone https://github.com/stefanoamorelli/nasdaq-data-link-mcp.git cd nasdaq-data-link-mcp ``` ### 2. Install Requirements You'll need Python 3.10+ and the `mcp` CLI. ```bash pip install mcp nasdaq-data-link pycountry ``` > MCP SDK: https://github.com/modelcontextprotocol/python-sdk > Nasdaq Data Link SDK: https://github.com/Nasdaq/data-link-python ### 3. Get Your API Key Sign up on [https://data.nasdaq.com/](https://data.nasdaq.com/) and copy your API key. ### 4. Configure the Environment ```bash cp .env.example .env ``` Then edit `.env` and add your API key: ``` NASDAQ_DATA_LINK_API_KEY=your_api_key_here ``` And the `PYTHONPATH`: ``` PYTHONPATH=/path/to/your/local/cloned/repo/nasdaq-data-link-mcp ``` ### 5. Install the MCP Server ```bash mcp install nasdaq_data_link_mcp_os/server.py --env-file .env --name "Nasdaq Data Link MCP Server" --with nasdaq-data-link --with pycountry ``` This registers the server with your MCP client (e.g., Claude Desktop). --- ## 🛠️ Tools After installation, the following tools are exposed to MCP clients: ---

📈 Retail Trading Activity Tracker

### `get_rtat10` Retrieves Retail Trading Activity Tracker 10 (RTAT10) data for specific dates and optional tickers. ```json { "action": "tool", "name": "get_rtat10", "params": { "dates": "2025-03-31,2025-03-28,2025-03-27", "tickers": "TSLA,TQQQ,SQQQ" } } ``` Returns RTAT10 data from Nasdaq Data Link for the given dates and tickers. --- ### `get_rtat` Retrieves Retail Trading Activity (RTAT) data for specific dates and optional tickers. ```json { "action": "tool", "name": "get_rtat", "params": { "dates": "2025-03-31,2025-03-28,2025-03-27", "tickers": "TSLA,TQQQ,SQQQ" } } ``` Returns RTAT data from Nasdaq Data Link for the given dates and tickers.

---

📊 Trade Summary Tool

### `get_trade_summary_data` Retrieves Trade Summary data from Nasdaq Data Link NDAQ/TS datatable. ```json { "action": "tool", "name": "get_trade_summary_data" } ``` Returns consolidated trade data including open, high, low, close, and volume information.

---

📊 World Bank Tools

### `get_indicator_value` Fetch the value for a specific indicator and country. ```json { "action": "tool", "name": "get_indicator_value", "params": { "country": "Italy", "indicator": "NY.GDP.MKTP.CD" } } ``` Returns the latest value for that indicator. --- ### `country_code` Returns the ISO 3-letter country code (e.g., `"ITA"` for Italy). ```json { "action": "tool", "name": "country_code", "params": { "countryName": "Italy" } } ``` --- ### `list_worldbank_indicators` Returns a list of all 1500+ indicators available. ```json { "action": "tool", "name": "list_worldbank_indicators" } ``` --- ### `search_worldbank_indicators` Searches for indicators by keyword. ```json { "action": "tool", "name": "search_worldbank_indicators", "params": { "keyword": "population" } } ```

---

📈 Equities

#nasdaq

MCP Link: Empowering AI Agents with Real-World Tools 🌐🤖

📈 Nasdaq Data Link MCP 🤖