stox-mcp

Percentile fingerprints, curated peers, theme clusters & market-stress context for US stocks.

我該用這個嗎

品質與安全性

A
說明品質
95%
結構描述完整度
78%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'compare' description lacks action verb在 compare 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,234Token(工具定義)
~884 B典型回應大小
中等的注意力影響(128k 上下文的 0.96%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "stox-mcp": {
      "url": "https://stox-mcp.fly.dev/mcp"
    }
  }
}

遠端端點

https://stox-mcp.fly.dev/mcpstreamable-http
https://mcp.stox.market/mcpstreamable-http

它能做什麼

工具清單

工具(6)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢fingerprint(ticker, as_of)

The character of one stock in ~550 tokens: 16 percentile scores (vs the S&P 500 cohort) across four panels — Market Beat, Trend Persistence, Business Growth, Pressure (money flow) — plus the composite P3 score (the validated 3-factor form), curated competitive peers (not GICS), a one-line character read, and the price line. Use for 'is this number good?' and quick company character.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "US ticker, e.g. NVDA"
    },
    "as_of": {
      "description": "RESERVED (phase 2): YYYY-MM-DD point-in-time snapshot; currently only the live snapshot is served",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢compare(tickers)

The 16 percentile scores + P3 + 1Y price change for 2-5 tickers as one compact matrix (rows = metrics, columns = tickers). Use when weighing names against each other; percentiles make the comparison fair across sectors and sizes.

輸入結構描述

{
  "type": "object",
  "properties": {
    "tickers": {
      "minItems": 2,
      "maxItems": 5,
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "2-5 US tickers"
    }
  },
  "required": [
    "tickers"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢peers(ticker)

The stock's TRUE competitive cluster — LLM-curated from segment overlap (who it actually competes with for revenue), not GICS classification. Costco's peers are WMT/TGT/KR, not 'Discount Stores'. Each peer carries its P3 score. Honest empty list for monopolies/private-rival cases.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢theme_cluster(ticker)

The statistical theme a stock actually trades with: clusters built from years of price co-movement (market-removed residuals → random-matrix cleaning → Ward linkage), not sector labels. Returns the cluster's name, description, cohesion, sector mix and up to 20 member tickers. Different question from `peers` (business competition) — this is who it MOVES with.

輸入結構描述

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢screen(filters, sort_by, min_perform, min_persist, min_profit, ...)

Screen the S&P 500 + NDX universe on ANY of the 16 percentile scores, with minimum AND maximum bounds, optionally within one GICS sector, sorted by the validated P3 composite or by any single metric. Metric keys: marketBeat1Y/1M/1W/1D (price vs SPY), rankPersistence52W/26W/13W + trendPersistence (rank stability), businessBeat + revGrowthYoy + marginGrowthYoy + fcfGrowthYoy (business growth), accumDistFlow/30/5/2 (money flow 60/30/5/2-day). Examples: momentum — {sort_by:'marketBeat1M', filters:[{metric:'businessBeat', min:70}]}; fallen leaders — {filters:[{metric:'rankPersistence52W', min:80},{metric:'marketBeat1Y', max:40}]}. Legacy min_perform/min_persist/min_profit/min_pressure still work (the four headline scores).

輸入結構描述

{
  "type": "object",
  "properties": {
    "filters": {
      "description": "bounds on any metrics; entries AND together",
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "metric": {
            "type": "string",
            "description": "one of the 16 metric keys"
          },
          "min": {
            "type": "number",
            "minimum": 0,
            "maximum": 100
          },
          "max": {
            "type": "number",
            "minimum": 0,
            "maximum": 100
          }
        },
        "required": [
          "metric"
        ]
      }
    },
    "sort_by": {
      "description": "'p3' (default) or any metric key; descending",
      "type": "string"
    },
    "min_perform": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    },
    "min_persist": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    },
    "min_profit": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    },
    "min_pressure": {
      "type": "number",
      "minimum": 0,
      "maximum": 100
    },
    "sector": {
      "description": "GICS sector filter, e.g. 'Energy'",
      "type": "string"
    },
    "n": {
      "description": "max results (default 12)",
      "type": "number",
      "minimum": 1,
      "maximum": 25
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢market_regime

Where market stress sits right now: the dashboard's 8-indicator stance, each indicator's traffic-light band, the VIX 5-year percentile (the ONE input validated as predicting forward risk — blended composites tested worse), and the S2 stress-confirmation badge (SPY below its 40-week average AND VIX above its 80th percentile of the trailing year). Descriptive context, not a market call.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

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