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sanjeev0291

nse-research-mcp

by sanjeev0291
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    TDQS

    B3.4/5.0

    Scored across 23 tools

    Disambiguation4/5

    Most tools are cleanly separated by data category: quotes, financials, indices, flows, options, etc. A few pairs like get_top_movers vs get_most_active or get_company_profile vs get_key_ratios could be momentarily confused, but the descriptions make the boundaries clear.

    Naming Consistency5/5

    All tools follow a consistent snake_case action_object pattern: get_* for data retrieval, plus search_stocks, screen_stocks, compare_stocks, and manage_watchlist. Even get_52_week_breakouts fits predictably despite the numeric prefix.

    Tool Count3/5

    At 23 tools, the set is on the heavy side, though each tool maps to a distinct NSE research need and no tool feels redundant. The breadth is coherent for a full research server, but the count is high enough that an agent may have to scan many options before selecting the right one.

    Completeness4/5

    The server covers the NSE research lifecycle well: discovery, screening, quotes and history, fundamentals, corporate actions, market breadth, index/options data, and watchlists. Minor gaps exist, such as limited historical bulk-deal data and no futures data, but core equity research workflows have no dead ends.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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