Wind
0
Enables large language models to access and utilize the WindPy financial data API.
About
Wind is a tool that transforms the WindPy financial data interface into a standardized tool that can be directly invoked by large language models (LLMs). It allows any desktop client with Wind financial terminal installed to enable LLMs (like Cherry Studio or Cursor) to understand and operate Wind API, query real-time financial data, and perform complex date calculations.
Key Features
- Implements Model Context Protocol (MCP) standard for seamless integration with compatible clients
- Provides tools for querying daily time series data (wind_wsd) and daily cross-sectional data (wind_wss)
- Includes a tool for searching the WindPy documentation (search_windpy_doc)
- Offers tools for working with trading day calendars and date offsets
- Features clear project structure with separated code, tests, documentation, and configurations
- 0 GitHub stars
Use Cases
- Integrating Wind financial data into LLM-powered applications
- Automating financial data queries and calculations within LLMs
- Enabling financial analysts to use LLMs for data retrieval and analysis using Wind API