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dados-b3-mcp

by Val7h
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Python
Hybrid

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Deploy Server
Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A4/5.0

Scored across 19 tools

Disambiguation4/5

Most tools target clearly distinct resources: companies, FIIs, ETFs, rankings, screens, methodology, and market events. The only mild ambiguity is between fii/fiis/fiis_ranking and etf/etfs_ranking, but the descriptions clarify singular detail versus filtered universe versus ranking.

Naming Consistency3/5

Names are readable and mostly lowercase, but conventions are mixed: some are verb_noun (listar_empresas, auditar_amostra), some are noun phrases (indicadores_anuais, fatos_contabeis), and some are English terms mixed into Portuguese (screener, scores, etfs_ranking). The inconsistency is noticeable but not chaotic.

Tool Count3/5

19 tools is on the heavy side and covers stocks, FIIs, ETFs, audits, and market events. The count is defensible given the broad scope, but it sits in the borderline range where some consolidation of the ranking/screening tools could have tightened the surface.

Completeness4/5

The surface covers the core financial workflow well: company discovery, fundamentals, multiples, quarterly data, dividends, screening, FIIs, ETFs, methodology, audit, and recent events. Minor gaps exist, such as no direct standalone price-history tool even though price-derived metrics appear throughout, but these can be worked around.

Maintenance

ActivityActive
ResponsivenessNo issues

Resources