Market Intelligence MCP
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TDQS
Scored across 23 tools
Each tool targets a distinct aspect of market intelligence—real estate, macro indicators, recession models, yield curves, etc. Potential overlaps like recession_indicators and recession_probability are differentiated by their outputs, with one listing raw indicators and the other providing a composite probability. The cascade suite is clearly organized with separate tools for listing, searching, and analyzing by category.
Most tools follow a noun_noun pattern (e.g., housing_data, recession_probability), but there are deviations: search_indicators uses a verb_noun pattern, and cascade_by_category includes a preposition. This inconsistency is minor and does not impede readability, but a uniform verb_noun or noun_noun convention would improve predictability.
With 23 tools, the server covers a broad domain without being overwhelming. Each tool serves a clearly defined function, and the count aligns well with the scope of market intelligence. Slightly towards the upper end of reasonable, but justified by the diversity of macroeconomic and real estate analysis subdomains.
The toolset thoroughly covers macroeconomic indicators, recession prediction, yield curves, and real estate investment analysis. However, it lacks certain areas like sector-level stock analysis, commodity prices beyond the capital rotation model, or detailed forex data. Overall, core workflows are well-supported, with only minor gaps.