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sanjeev0291

nse-research-mcp

by sanjeev0291
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    ActivityMaintained
    ResponsivenessNo issues

    Resources