zlinzzzz/finData-mcp-server
by Various
FinData enables your AI agents retrieve financial data from different providers like Tushare, Wind, and DataYes.
MCP
zlinzzzz/finData-mcp-server
Added 1 June 2026
Overview
FinData is an MCP server that enables AI agents to retrieve financial data from providers such as Tushare, Wind, and DataYes. It acts as a bridge between AI agents and these data sources, providing a unified interface for programmatic access to financial datasets.
Best for
Best for
Developers building AI agents that need programmatic access to Chinese financial data from Tushare, Wind, or DataYes
Use cases
- Fetching stock market data for analysis
- Integrating financial data into AI-driven trading bots
- Accessing historical financial data for backtesting models
How to use
Tools exposed
uvpythonpandastushare
Example client config
[object Object] Notes
FinData is an MCP server that enables AI agents to retrieve financial data from providers such as Tushare, Wind, and DataYes. It acts as a bridge between AI agents and these data sources, providing a unified interface for programmatic access to financial datasets.
56 stars on GitHub. Last updated 2025-05-09. Licensed Apache-2.0.
Use cases
- Fetching stock market data for analysis
- Integrating financial data into AI-driven trading bots
- Accessing historical financial data for backtesting models
Pros
- Open source and Python-based, easy to integrate into existing AI workflows
- Supports multiple financial data providers through a unified interface
- Lightweight MCP server that can be deployed quickly
Cons
- Limited community support and documentation due to small user base
- Dependency on third-party data providers which may require API keys or subscriptions
- May not cover all financial data types or global markets
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source and Python-based, easy to integrate into existing AI workflows
- Supports multiple financial data providers through a unified interface
- Lightweight MCP server that can be deployed quickly
Cons
- Limited community support and documentation due to small user base
- Dependency on third-party data providers which may require API keys or subscriptions
- May not cover all financial data types or global markets
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