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India Market MCP

India Market MCP

by kcodweb

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    • A
      license
      A
      quality
      B
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      Indian stock market (NSE & BSE) MCP server with 55 tools: live quotes, financials, technicals, a 326-ratio screener, FII/DII flows, option chains with IV, parsed annual reports and concall transcripts, IPOs and portfolio tracking for ~8,200 stocks.
      55
      229 npm
      147
      MIT
    • F
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      quality
      D
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      Enables AI assistants to access National Stock Exchange of India (NSE) data, including live quotes, market status, indices, option chains, corporate actions, and historical data, through natural language.
      24
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Gives AI assistants live, structured data on all 8,200+ NSE and BSE listed companies through 55 tools — quotes, quarterly financials, a 326-ratio screener, technical indicators, FII/DII flows, option chains and IV, filings, IPOs, bulk deals and portfolio P&L. It runs remotely over OAuth or locally via npx/uvx, so users can research and screen Indian stocks in plain English inside Claude, ChatGPT, Cursor, VS Code, Codex or Gemini CLI.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to search, screen, and analyze 8,200+ NSE and BSE listed securities through 55 tools covering live quotes, financials, technical indicators, FII/DII flows, option chains, filings, IPOs, bulk deals, and portfolio P&L.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to pull live NSE/BSE market data over Streamable HTTP, including stock quotes, OHLCV price history, technical indicators, fundamentals, multi-stock comparisons, and index overviews. It also reports whether the exchanges are currently open and can run a full single-stock analysis prompt.
      MIT

    TDQS

    A3.7/5.0

    Scored across 13 tools

    Disambiguation3/5

    Tools cover distinct resource types (securities, options, mutual funds, financials), but index-level data is available from three tools (get_quote, get_index, get_market_overview) and dividend/split data appears in both get_price_history and get_corporate_actions. Descriptions help scope each tool, but an agent may still misselect for broad index or corporate action queries.

    Naming Consistency5/5

    All names use snake_case with consistent verb_noun patterns: search_* for discovery, get_* for retrieval, and price_option as the only non-get verb. The single deviation is minor and still predictable.

    Tool Count5/5

    13 tools cover equities, indices, options, mutual funds, and financials without obvious redundancy. Each tool adds a distinct capability within the Indian market data scope.

    Completeness4/5

    The surface is broad, covering search, quotes, history, options, financials, shareholding, corporate actions, announcements, and mutual funds. Minor gaps exist (e.g., mutual fund NAV history, futures, or deeper option analytics), but core workflows are supported.