Rice Stock Data MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Rice Stock Data MCP Server Show me the latest earnings for Microsoft"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Rice Stock Data MCP Server
A Model Context Protocol (MCP) server for accessing Rice Business Stock Market Data Portal through Claude Desktop.
Features
Natural language queries for stock market data
Access to comprehensive financial metrics and indicators
Rice University email verification for access control
Seamless integration with Claude Desktop
Related MCP server: Alpha Vantage MCP Server
Prerequisites
You must have Node.js installed on your computer to use this MCP server.
Download Node.js: Visit nodejs.org and install the LTS version
Verify installation: Open terminal/command prompt and run:
node --version npm --versionBoth commands should return version numbers.
Claude Desktop Configuration
Step 1: Get Your Access Token
Visit the Rice Business Stock Market Data Portal
Verify your Rice University email address
Copy your personal access token
Step 2: Configure Claude Desktop
Open Claude Desktop
Go to Settings → Developer → Edit Config
Add the following configuration to your
claude_desktop_config.json:
{
"mcpServers": {
"rice-stock-data": {
"command": "npx",
"args": ["@kerryback/rice-stock-data"],
"env": {
"USER_ACCESS_TOKEN": "your_actual_access_token_here",
"APP_URL": "https://your-actual-data-portal.rice-business.org"
}
}
}
}Replace
"your_actual_access_token_here"with your actual access token from Step 1 (keep the quotation marks)Save the configuration file
Restart Claude Desktop
Step 3: Using the MCP Server
Once configured, you can ask Claude questions about stock market data:
"Show me tech stocks with PE under 20"
"What are Apple's financial ratios?"
"List healthcare companies by market cap"
"Get the latest earnings data for Microsoft"
"Compare revenue growth across FAANG stocks"
Local Development
Installation
npm install
npm run buildRunning the MCP Server Locally
npm run start:mcpRunning the Web Server (for deployment)
npm startEnvironment Variables
USER_ACCESS_TOKEN- Your personal Rice Data Portal access token (required)APP_URL- Data portal base URL (default: https://data-portal-mcp.rice-business.org)PORT- Web server port (default: 8000, used for deployment only)
API Endpoints
The web server provides these endpoints (for deployment):
GET /- Server informationGET /health- Health check endpointPOST /chat- Query endpoint (requires token in request body)
Troubleshooting
"Authentication failed" error
Verify your access token is correct and hasn't expired
Ensure you've verified your Rice University email
"Rate limit exceeded" error
Wait a moment before making additional queries
The API has rate limiting to ensure fair usage
Claude Desktop doesn't show the MCP server
Make sure you've restarted Claude Desktop after configuration
Check that the configuration JSON is valid (no syntax errors)
Verify the package name is correct:
@kerryback/rice-stock-data
Support
For issues or questions about:
MCP Server: Open an issue in this repository
Data Portal Access: Contact Rice Business IT support
Stock Data: Refer to the Rice Business Stock Market Data Portal documentation
License
MIT
Available Tools
1 toolquery_dataA
Query Rice Stock Data Portal using natural language. Ask questions about stocks, financial metrics, sectors, or any market data.
Inputs: prompt (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of overlap or confusion. The tool's purpose is clear and singular.
The single tool name follows a clean verb_noun pattern (query_data), which is internally consistent and readable.
With just one tool, the server feels minimal. However, for a natural language query interface, a single comprehensive tool may be sufficient, placing it at the borderline of appropriateness.
The natural language query tool describes broad coverage of stocks, financial metrics, sectors, and market data, effectively addressing the entire domain without obvious dead ends.
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