finData MCP Server enables AI applications to access multiple financial data sources including Tushare and Wind, supporting various data types such as market, fundamental, and macroeconomic data, through a flexible server architecture.
Added on:
Created by:
Apr 28 2025
finData MCP Server enables AI applications to access multiple financial data sources including Tushare and Wind, supporting various data types such as market, fundamental, and macroeconomic data, through a flexible server architecture.
Added on:
Created by:
Apr 28 2025
lin
Featured
What is finData MCP Server?
finData MCP Server is an open-source protocol for providing structured financial data access to large language models and AI applications. It integrates data from multiple vendors like Tushare, Wind, and Tonglian, offering endpoints for real-time market data, company fundamentals, financial statements, macroeconomic indicators, and more. The server supports configuration via environment variables and can be deployed using the uv command. It simplifies data retrieval workflows, enhances data reliability, and improves AI-driven financial analysis by providing a centralized data access point with support for multiple data providers and data types.
Who will use finData MCP Server?
- Financial Data Analysts
- AI Developers
- Quantitative Researchers
- Financial Institutions
- Fintech Companies
How to use the finData MCP Server?
- Step1: Install Python 3.11 and MCP CLI ≥ 1.6.0
- Step2: Clone the finData MCP Server repository
- Step3: Configure environment variables including DATA_API_TOKEN and PROVIDER
- Step4: Use the uv command to start the server with the specified configuration
- Step5: Access the MCP server API for financial data retrieval in your AI application
finData MCP Server's Core Features & Benefits
The Core Features
- Access stock market data from Tushare
- Retrieve company and fundamental information
- Obtain macroeconomic indicators
- Support multi-data vendor integration
- Configurable via environment variables
- Deployable with uv command
The Benefits
- Centralized access to multiple financial data sources
- Facilitates AI and data analysis workflows
- Supports diverse financial data types
- Enhances data consistency and reliability
- Easy setup and configuration
finData MCP Server's Main Use Cases & Applications
- Financial data analysis and research
- AI-powered stock trading strategies
- Financial dashboard development
- Macro economic trend analysis
- Quantitative research and modeling
FAQs of finData MCP Server
Developer
- zlinzzzz
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