tiingo-mcp
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TDQS
Scored across 17 tools
Every tool targets a specific data type or asset class with clear boundaries. The overlaps (e.g., dividends vs. dividend yield, stock metadata vs. company meta) are well-differentiated by the descriptions.
All tools follow a consistent get_resource_detail pattern using snake_case (e.g., get_stock_prices, get_forex_quote). The naming is predictable and easy to navigate.
With 17 tools covering stocks, forex, crypto, news, fundamentals, dividends, and splits, the count is appropriate for the breadth of financial data. Each tool serves a distinct purpose without being excessive.
The set covers core market data, fundamentals, and news well. Minor gaps exist (e.g., no dedicated earnings calendar or analyst estimates), but the overall surface is comprehensive for common financial analysis tasks.