FactorHub MCP Server
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TDQS
Scored across 11 tools
Each tool targets a distinct aspect of financial data analysis: factor performance vs scores, index vs stock data, stock info vs list, valuation, backtesting, and configuration. No two tools serve the same purpose.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_factor_nav, list_factors, run_backtest). The conventions are uniform across all 11 tools.
With 11 tools, the server covers core operations for factor analysis, stock data, index data, backtesting, and configuration. The count is well-scoped without being overwhelming or insufficient.
The tool set covers essential CRUD-like operations for factor data, stocks, indices, and backtesting. Minor gaps exist, such as lack of bulk data retrieval or more customizable backtest parameters, but the core workflows are well-supported.