Local Stock Analyst MCP
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TDQS
Scored across 8 tools
Most tools are clearly distinct, targeting different data types like candles, profiles, financials, indicators, quotes, news, and prices. However, get_quote and get_stock_price could be confused as both provide price-related information, with some overlap in purpose (e.g., quote includes price data). The descriptions help differentiate them, but an agent might misselect between these two for basic price queries.
All tools follow a consistent verb_noun pattern with 'get_' prefix, such as get_candles, get_company_profile, and get_key_financials. This predictability makes it easy for agents to understand and use the toolset without confusion from mixed naming conventions.
With 8 tools, the server is well-scoped for a local stock analyst purpose, covering key aspects like price data, financial metrics, technical indicators, and news. Each tool earns its place by addressing a specific need in stock analysis without being overly sparse or bloated.
The toolset provides good coverage for stock analysis, including data retrieval for prices, financials, indicators, and news. Minor gaps exist, such as the lack of tools for updating or managing data (e.g., no set or delete operations), but agents can work around this as the focus is on read-only analysis. Core workflows are well-supported.