Financial Data MCP Server
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Please install @user_053d27d0/mcp-financial-data-zx following https://skillhub.cn/install/skillhub.md.
About this skill
Problem
When building financial scripts or agents, it is common to switch between quotes, fund NAV, macro indicators, and sector data. akshare provides data, but its interfaces are scattered and parameter styles vary, which makes direct model-driven field guessing error-prone. This skill wraps common endpoints into 19 MCP tools, using consistent symbol, market, and period parameters to query Chinese A-share, fund, macro, and market data, and returns readable Markdown tables.
How It Works and Boundaries
The core capabilities fall into four groups: stock tools cover real-time quotes, historical K-lines, financial metrics, index constituents, top gainers, and top losers; fund tools provide lists, NAV history, top holdings, and performance; macro tools return GDP, CPI, PMI, money supply, and FX rates; market tools cover indices, sectors, market breadth, and northbound flows. A typical call starts by choosing the market scope, then passes parameters such as 600519 or sh600519 for stocks, fund codes for funds, and sh000300 for indices.
Boundaries: it relies on public China-market data sources and is not equivalent to broker-grade real-time feeds; akshare endpoint changes can affect results; errors are returned as Markdown hints rather than interrupting the service. It is suitable for data lookup, report generation, and agent tool chains, but not for millisecond-level low-latency trading or compliance-audited decision-making.
Use Cases
- A quant analyst retrieves CSI 300 constituents, daily K-lines, and financials in an agent to draft a stock selection memo.
- A fund research assistant queries NAV history, top holdings, and performance by fund code to build a comparison table.
- A macro strategist calls CPI, PMI, M2, and FX rate tools to write the macro data section of a morning brief.
- A market monitoring script fetches the SSE index, sector moves, breadth, and northbound flows to output a Markdown daily report.
Best For
- A fintech engineer building research agents who needs model-accessible A-share, fund, and macro endpoints.
- A strategy analyst writing morning briefs who needs fast index, sector, breadth, and northbound flow data.
- A fund research assistant comparing funds who needs NAV, holdings, and performance by code.
- A Python engineer maintaining data tooling who wants MCP tools instead of scattered akshare scripts.
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