stockup-mcp
Connects AI agents to StockUp Quan's financial reasoning models with real-time stock data from Yahoo Finance, enabling grounded financial analysis and queries.
README
StockUp Quan Financial AI — Model Context Protocol (MCP) Server
Connect Claude Desktop, Cursor, and other AI agents directly to StockUp Quan, the premier financial intelligence reasoning model grounded with real-time, zero-hallucination stock quote data.
Features
- Real-Time Stock Grounding: Automatically extracts stock prices, session margins, and trading volumes from Yahoo Finance and prepends them as context to your queries.
- Deep Reasoning Models: Exposes the specialized
quan-3.0,quan-3.3(Standard), andquan-3.3-deep-researchmodels for portfolio setups, competitor comparisons, and SEC filing audits. - AI-Ready Tools: Exposes a native
financial_reasoning_querytool that handles all complex financial reasoning prompts.
Installation & Setup
Prerequisite
Make sure you have Node.js installed on your computer.
Step 1: Obtain a StockUp API Key
- Sign up or log in to the StockUp Developer Console at https://stockup.cc/api.
- Refill your prepaid wallet and click New Key under API Credentials to generate a secret key (starting with
sk_quan_).
Step 2: Configure Claude Desktop
Add this server configuration to your Claude Desktop configuration file:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"stockup": {
"command": "node",
"args": ["/path/to/stockup-mcp.js"],
"env": {
"STOCKUP_API_KEY": "YOUR_SECRET_API_KEY"
}
}
}
}
(Make sure to replace /path/to/stockup-mcp.js with the absolute local path to your script, and YOUR_SECRET_API_KEY with your actual StockUp API key).
Step 3: Restart Claude Desktop
Fully close and restart Claude Desktop. You will see a small Hammer icon 🛠️ in the chat box, indicating that the StockUp tools are active!
Exponent Tools
1. financial_reasoning_query
Queries the StockUp Quan model with live quote grounding.
- Parameters:
prompt(string, required): The financial analysis or stock query.model(string, optional): One ofquan-3.0(speed),quan-3.3(flagship reasoning), orquan-3.3-deep-research(portfolio scour).googleSearch(boolean, optional): Enables live Google Search grounding. Default:true.temperature(number, optional): Query sampling variance.
Example Queries to Try:
- "Analyze Apple's current valuation compared to Microsoft and Google P/E multiples."
- "Audit Tesla's current setups and recommend a DCA strategy based on their technical averages."
- "Perform a competitive qualitative tradeoff between NVDA and AMD."
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