akshare-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to directly access A-share market data, including real-time quotes, K-lines, market statistics, sector performance, multi-condition stock screening, and latest financial indicators.MIT
- FlicenseNot gradedqualityDmaintenanceProvides stock market data (search, quotes, real-time, charts) for A-share, Hong Kong, and US stocks via MCP tools.-
- FlicenseNot gradedqualityDmaintenanceMCP server that wraps SFC financial data API into 32 tools for comprehensive A-share market data, including real-time quotes, rankings, limit-up statistics, news, themes, financials, charts, research reports, and watchlists.-
- AlicenseNot gradedqualityCmaintenance基于Model Context Protocol (MCP) 的A股实时行情查询服务器,支持查询A股实时价格、历史K线数据、财务信息及市场概况。49 PyPI8MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants and MCP-compatible clients to access real-time and historical market data across A-shares, Hong Kong, US equities, funds, futures, and options, along with technical indicators, sector analysis, screening, prompts, and resources.111 npmISC
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants and MCP-compatible clients to retrieve multi-market stock quotes, K-line data, technical indicators, sector/futures/options data, and composite screening, comparison, and market overview analyses across A-shares, Hong Kong, US equities, and funds.111 npmISC
TDQS
Scored across 12 tools
Each tool targets a specific type of financial or market data with clear distinctions: financial statements (balance sheet, cash flow, income, metrics), market data (historical vs real-time), ownership (fund holdings, top10 shareholders, top10 free shareholders), insider trades, news, and time info. No two tools have overlapping purposes.
All tool names follow a consistent 'get_<descriptive_noun>' pattern using snake_case. The naming is uniform and predictable, making it easy for agents and users to understand the action and data type each tool provides.
With 12 tools, the server covers core functionalities for stock market data retrieval (financials, prices, ownership, news, utilities) without being overly expansive or too sparse. The count is well-suited for a focused financial data assistant.
The tool surface covers major areas: financial statements, market prices (historical & real-time), holdings, insider trades, and news. However, it lacks tools for company profiles, dividend data, or index data, which are minor gaps for a comprehensive stock analysis toolkit.