Fubon MCP Server
The Fubon Securities MCP Server is a Python service for obtaining historical data of Taiwan stocks, supporting functions such as K - line query, local caching, and automatic segmented requests.
rating : 2 points
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What is the Fubon Securities Market Data MCP Server?
The Fubon Securities Market Data MCP Server is a tool for obtaining historical data of Taiwan stocks, supporting the query of historical K - line data of stocks and ETFs. It has functions such as local data caching, automatic segmentation processing of long - interval requests, data deduplication and sorting, and additional calculation functions.How to use the Fubon Securities Market Data MCP Server?
Users can start the server by installing the server, configuring environment variables, and running scripts. Subsequently, historical data can be queried through the API interface.Applicable scenarios
Suitable for researchers, investors, or financial analysts who need to obtain historical data of Taiwan stocks.Main functions
Support querying historical K - line data of Taiwan stocks and ETFsProvide the function of querying historical K - line data of stocks and ETFs.
Local data cachingReduce the number of API calls and improve data query efficiency.
Automatic segmentation processing of long - interval requestsFor requests with a long - time interval, automatically split them into multiple small - range requests.
Data deduplication and sortingEnsure that the returned data has no duplicates and is arranged in chronological order.
Additional calculation fieldsProvide additional calculation fields such as trading value and price change range.
Advantages and limitations
Advantages
Support multiple data query methods to meet different needs.
Local caching reduces network latency.
Automatic segmentation processing improves the user experience.
Additional calculation fields enhance data analysis capabilities.
Limitations
Properly keep account passwords and electronic credentials.
Data query may be limited by the daily number of times.
Long - interval requests may increase the system burden.
How to use
Clone the project and enter the directory
Clone the project via Git and switch the working directory to the project folder.
Create and activate a virtual environment
Set up and activate a Python virtual environment.
Install dependency packages
Install the dependencies required for the project.
Configure environment variables
Set the necessary environment variables, including account passwords and certificate paths.
Start the server
Run the server script to start the service.
Usage examples
Query historical K - line data of stocksUsers can query the historical K - line data of a specific stock within a certain period.
Obtain local historical dataObtain locally stored historical data through an HTTP GET request.
Frequently Asked Questions
How to install the MCP server?
What should I do if an error occurs when querying historical data?
How to improve query efficiency?
Related resources
GitHub Project Page
The open - source code repository of the Fubon Securities Market Data MCP Server.
Documentation
Detailed documentation on using the MCP server.
Author's Blog
The author's technical sharing and personal homepage.
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