FinanceMCP
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TDQS
Scored across 18 tools
Most tools have distinct purposes targeting specific financial data domains like stocks, funds, indices, or news, with clear boundaries. However, some overlap exists between 'company_performance', 'company_performance_hk', and 'company_performance_us', which could cause confusion as they differ only by market region rather than function.
Tool names predominantly follow a consistent snake_case pattern with descriptive noun-based naming (e.g., 'stock_data', 'finance_news'). Minor deviations include 'dragon_tiger_inst' (abbreviated) and 'hot_news_7x24' (includes a number), but overall the naming is predictable and readable.
With 18 tools, the count is slightly high but reasonable for a comprehensive finance server covering diverse data types like stocks, funds, indices, news, and macroeconomic indicators. It avoids being overwhelming while providing broad coverage, though it could be streamlined by merging some overlapping tools.
The tool set offers extensive coverage of financial data domains, including historical and real-time data, company performance across markets, indices, funds, news, and macroeconomic indicators. It supports CRUD-like operations for data retrieval across various assets and timeframes, with no obvious gaps for typical agent workflows in finance analysis.