Indian NSE Stock Insights

Analyze any Nifty 500 stock with AI — price action, demand zones, technicals & screener.

我该使用它吗

质量与安全性

B
描述质量
80%
模式完整度
76%
命名质量
97%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(2)

  • LOWTool 'get_support_resistance' description lacks action verb在 get_support_resistance 中
  • LOWTool 'get_demand_supply_zones' description lacks action verb在 get_demand_supply_zones 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,066token 数(工具定义)
~606 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.83%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "nse-public-mcp": {
      "url": "https://stockmcp.alokbarnwal.com/mcp"
    }
  }
}

远程端点

https://stockmcp.alokbarnwal.com/mcpstreamable-http

它能做什么

工具清单

工具(12)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟡get_stock_quote(symbol)

Latest price snapshot for an NSE stock — last close, prev close, change %, day H/L, volume.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_ohlc_data(symbol, timeframe, limit)

Recent OHLCV candles. timeframe in {daily, 15min, 5min}; limit capped at 500; newest first.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    },
    "limit": {
      "default": 50,
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_technical_indicators(symbol, timeframe)

Latest technical indicators (EMAs, SMAs, RSI, MACD, BB, ADX, Stoch, ATR, OBV, VWAP).

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_support_resistance(symbol, timeframe)

Pivot points + historical support/resistance levels, ordered by price desc.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_demand_supply_zones(symbol, timeframe, status)

Demand/supply zones (DBR/RBR/RBD/DBD) split into demand_zones and supply_zones.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    },
    "status": {
      "default": "ACTIVE",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_candlestick_patterns(symbol, timeframe, limit)

Recent single-bar candlestick patterns (HAMMER, DOJI, ENGULFING, ...) newest first.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_chart_patterns(symbol, timeframe, status)

Multi-bar chart patterns (DOUBLE_TOP, HEAD_AND_SHOULDERS, ...). 'ACTIVE' = PENDING/CONFIRMED.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    },
    "status": {
      "default": "ACTIVE",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_fibonacci_levels(symbol, timeframe)

Latest fibonacci retracement swings (UP/DOWN) with 236/382/500/618/786 levels.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_volume_analysis(symbol)

Volume diagnostic: top 5min hotspots + peak slot + OBV 20-day trend + today/20-day volume ratio.

输入模式

{
  "type": "object",
  "properties": {
    "symbol": {
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
🟢get_market_overview

Market-wide snapshot: indices, top_gainers, top_losers, most_active, breadth.

输入模式

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
⚪compare_stocks(symbols, timeframe)

Side-by-side comparison of 2-5 symbols: quote, RSI/MACD/ADX, trend, 30d return, latest pattern.

输入模式

{
  "type": "object",
  "properties": {
    "symbols": {
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "timeframe": {
      "default": "daily",
      "type": "string"
    }
  },
  "required": [
    "symbols"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}
⚪screen_stocks(filters)

Filter the active universe. Keys: rsi_min, rsi_max, adx_min, trend, near_demand_zone, pattern, min_volume_ratio, sector. At least one required.

输入模式

{
  "type": "object",
  "properties": {
    "filters": {
      "additionalProperties": true,
      "type": "object"
    }
  },
  "required": [
    "filters"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "additionalProperties": true
}

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已验证未记录版本12 个工具
已验证未记录版本12 个工具
已验证未记录版本12 个工具