MCP Server T98
A stock data MCP server based on the Yahoo Finance API, providing real - time data, historical analysis, and stock comparison functions, supporting SSE transmission and API key authentication.
rating : 2 points
downloads : 9
What is Stock Assistant MCP Server?
Stock Assistant MCP Server is a server based on the Model Context Protocol (MCP) that provides stock data through real - time connections (SSE). Users can obtain real - time stock quotes, historical data analysis, and comparisons between stocks. The data comes from the Yahoo Finance API.How to use Stock Assistant MCP Server?
Users can connect to the server through configuration tools (such as Visual Studio Code) and authenticate using an API key. The server supports real - time data stream pushing, which is convenient for developers to integrate into their own applications.Applicable scenarios
It is suitable for scenarios that require real - time stock quote monitoring, historical data backtracking analysis, and multi - stock comparison, such as financial investment platforms, quantitative trading systems, or personal financial management tools.Main Features
Real - time Data StreamReceive real - time stock price updates through the SSE protocol without frequent requests.
Historical Data AnalysisGenerate historical data reports of stocks based on the specified date range.
Stock ComparisonCompare the performance indicators of different stocks, such as price changes and trading volumes.
Cloud Deployment SupportSupports rapid deployment on Azure Container Apps for easy large - scale applications.
Advantages and Limitations
Advantages
Real - time data stream reduces latency and improves user experience.
Flexible API interfaces adapt to various application scenarios.
Supports rapid deployment on mainstream cloud platforms, reducing operation and maintenance costs.
Open - source and free, with an active developer community.
Limitations
It depends on the Yahoo Finance API and may be affected by its restrictions.
It has certain requirements for the network environment to ensure a stable SSE connection.
Advanced features may require an additional paid subscription to the API service.
How to Use
Install Dependencies
Ensure that Python 3.13 or a higher version is installed and the development environment is configured.
Run the Local Server
Start the server in the terminal and set the API key.
Configure the Client
Add the MCP server configuration using Visual Studio Code.
Usage Examples
Example 1: Real - Time Stock MonitoringUsers can subscribe to the price changes of a certain stock and trigger notifications when the price reaches a preset threshold.
Example 2: Historical Data BacktrackingUsers can query the trend of a certain stock in the past year through the historical API.
Example 3: Stock ComparisonUsers can compare the annual returns of two stocks.
Frequently Asked Questions
How to get an API key?
Does the server support HTTPS?
How to deploy the server on Azure?
Related Resources
GitHub Repository
Source code and documentation of the open - source project
Official Documentation
Detailed API interface description
YouTube Tutorial
Quick - start video
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