TL;DR
AKShare One MCP is an open-source server that bridges the popular AKShare Python library with AI agents using the Model Context Protocol (MCP). It allows LLMs like Claude and Cursor to natively query real-time and historical Chinese financial data, news, and statements. It differentiates itself by providing a turnkey, standardized interface for the vast but complex Chinese market data ecosystem.
What Users Actually Pay
No user-reported pricing yet.
Our Take
AKShare One MCP occupies a vital niche in the rapidly expanding 'agentic' ecosystem by solving the 'data gap' between powerful LLMs and specialized Chinese financial markets. While commercial APIs for A-share data are often expensive and restrictive, this tool leverages the open-source AKShare library to provide broad access at no cost. It is a critical utility for developers building financial AI assistants that need to reason about China's economy with live data. However, the project's strength is also its primary vulnerability: it relies on web scraping techniques inherited from the underlying AKShare library. As financial websites change their structures, tools within the MCP server can break, leading to inconsistent uptime for certain endpoints. Its market position is currently that of a high-utility community tool rather than an enterprise-grade data provider. Compared to other implementations like ttjslbz001's version, AKShare One MCP is noted for being lightweight and easy to deploy via registries like Smithery. It is best suited for individual quantitative researchers and AI engineers who prioritize accessibility and depth of Chinese market data over the five-nines reliability of a professional terminal like Bloomberg. Ultimately, this tool represents the 'USB-C for finance' trend—standardizing messy data sources into a format that AI can consume. Its future success depends on the developer's ability to maintain the scrapers as upstream Chinese financial portals increase anti-bot measures.
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Pros
- + Provides zero-cost access to deep Chinese market data (A-shares, ETFs, indices) without requiring expensive enterprise API subscriptions.
- + Native MCP support allows for immediate integration with Claude Desktop, Cursor, and other AI agents without writing glue code.
- + Extensive toolset covering not just prices but also financial statements, insider trading, and macroeconomic indicators.
- + Simplified deployment options through the Smithery registry and 'uv' package manager for Python developers.
- + Transparent and open-source (MIT License), allowing for easy customization and community-driven updates.
Cons
- - Inconsistent reliability with some tools showing low uptime (approx. 60-70%) due to reliance on fragile upstream web scrapers.
- - Dependency on the AKShare library means that breaking changes in Chinese financial portals (e.g., Eastmoney, Sina) can temporarily disable functions.
- - Latency can be high for real-time data requests, often exceeding 1.5 to 2 seconds per call.
- - Documentation and error messages may be geared more toward technical users or require familiarity with Chinese financial terminology.
- - Maintenance is primarily driven by a single developer (zwldarren), which may pose long-term support risks compared to corporate-backed tools.
Sentiment Analysis
Sentiment has improved since last capture. The sentiment is highly positive among the early adopter AI developer community, where the tool is praised for bridging the 'data gap' for Chinese markets. While users acknowledge the 'experimental' nature of uptime for some tools, the utility of having free, standardized financial data for AI agents far outweighs the occasional reliability issues. Mentions have grown significantly as the Model Context Protocol gains mainstream traction.
Sentiment Over Time
By Source
9900 mentions
Sample quotes (1)
- "AKShare One MCP Server: Provide access to Chinese stock market data including historical prices, real-time data, news, and financial statements."
5 mentions
Sample quotes (1)
- "The combination of MCP and AKShare is a game-changer for anyone interested in global and Chinese financial markets... ttjslbz001 and zwldarren provide different flavors for different tastes."
160 mentions
Sample quotes (1)
- "MCP server based on akshare-one, providing comprehensive interfaces for China stock market data."
Agent Readiness
55/100AKShare One MCP is purpose-built for AI agents, offering a high degree of readiness for LLM-driven workflows. It uses the Model Context Protocol (MCP) to expose functions as tools, making it natively compatible with leading agentic platforms. While it lacks traditional automation triggers like Zapier or webhooks, it is optimized for autonomous retrieval in chat-based or programmatic AI environments. Developer experience is solid for those comfortable with Python/GitHub, though it lacks an enterprise-grade status page or sandbox.
Last checked May 12, 2026
MCP Integrations
1 server9 tools8,527 total usesProvide access to Chinese stock market data including historical prices, real-time data, news, and financial statements. Retrieve comprehensive financial information for stocks with flexible parameters. Enhance your financial analysis and decision-making with up-to-date market insights.
9 tools
get_hist_dataGet historical stock market data. 'eastmoney_direct' support all A,B,H sharesget_realtime_dataGet real-time stock market data. 'eastmoney_direct' support all A,B,H sharesget_news_dataGet stock-related news data.get_balance_sheetGet company balance sheet data.get_income_statementGet company income statement data.get_cash_flowGet company cash flow statement data.get_inner_trade_dataGet company insider trading data.get_financial_metricsGet key financial metrics from the three major financial statements.get_time_infoGet current time with ISO format, timestamp, and the last trading day.
Last checked Apr 27, 2026
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