Claude's wire to Chinese markets, funds, and crypto

What it does

FinanceMCP is a Node.js-based MCP server that standardizes Tushare and Binance output into a unified toolkit for large language models. It exposes endpoints covering A-shares, Hong Kong and US equities, funds, bonds, futures, forex, macroeconomic indicators, and cryptocurrencies. The server handles the tedious work of parameter validation, historical data prefetching, and technical indicator calculation so the model receives clean, plottable numbers instead of raw API soup.

The interesting bit

The project treats technical indicators as first-class citizens with forced parameterization—no lazy defaults, so macd(12,26,9) is explicit and reproducible. It also bundles a surprising amount of China-specific depth, from CSI index constituent weighting and valuation metrics to margin trading, dragon-tiger institutional flows, and 7×24 hot-news deduplication. The README documents an 85 percent speed-up on fund queries, cutting latency from 5.2 seconds down to 0.8 seconds.

Key highlights

• Consolidates over 100 financial data interfaces into 18 MCP tools spanning stocks, funds, bonds, macro indicators, and crypto
• Five core technical indicators (MACD, RSI, KDJ, BOLL, MA) with smart historical prefetching to eliminate NaN gaps
• Deep A-share coverage: CSI constituents with PE, PB, dividend yield, ROE, margin trading, block trades, and dragon-tiger institutional flow
• Fund data latency cut from 5.2 s to 0.8 s, per the README
• Public cloud endpoint available, though the author candidly warns it runs on a personal small server with shared-rate-limit caveats

Caveats

• The free public cloud is explicitly described as a personal small server; the README bluntly warns users not to abuse it and notes shared rate limits
• Unrestricted access requires bringing your own Tushare API token

Verdict

Worth a look if you are building China-centric financial agents or want to stop hand-carrying Tushare data into Claude. Less compelling if your workflow never touches A-shares or Tushare’s data universe.