China Stock MCP Server
MCP server for Chinese stock market data using AKShare — a Python-based financial data interface for A-shares, H-shares, and Chinese financial markets. Enables AI agents to query SSE (Shanghai) and SZSE (Shenzhen) stock prices, historical data, company fundamentals, and financial indicators from Chinese securities markets.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Public financial data. CN data sources. Financial decision risk.
⚡ Reliability
Best When
A quantitative researcher or investor focused on Chinese A-share markets wants AI agents to access comprehensive Chinese securities data via AKShare's free data aggregation.
Avoid When
You trade US/European stocks or need real-time market data. Also: CN data residency concerns. Chinese market regulations apply.
Use Cases
- • Querying A-share stock prices and historical data from Chinese market analysis agents
- • Accessing Shanghai and Shenzhen exchange data for quantitative research agents
- • Retrieving Chinese company fundamentals and financial reports for investment agents
- • Building Chinese market analytics workflows using AKShare data via AI agents
Not For
- • Non-Chinese market stocks (US, European equities need different data sources)
- • Real-time trading (AKShare has data delays — not for HFT)
- • Teams without Chinese market knowledge and compliance requirements
Interface
Authentication
No authentication required — uses AKShare which aggregates publicly available Chinese financial data.
Pricing
AKShare is free open source. Chinese financial data is publicly available from official exchange sources. MCP server is free open source.
Agent Metadata
Known Gotchas
- ⚠ FINANCIAL RISK: Stock data for investment decisions — verify data quality against official exchange sources
- ⚠ AKShare data sources may change — upstream source changes can break data availability
- ⚠ Chinese market trading hours and holidays differ from Western markets
- ⚠ Stock codes use Chinese exchange format (000001.SZ, 600000.SH) — different from Western tickers
Alternatives
Full Evaluation Report
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Package Brief
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Continuous monitoring
Scores are editorial opinions as of 2026-03-07.