stox-mcp

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
95%
Vollständigkeit des Schemas
78%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'compare' description lacks action verbin compare

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,234Tokens (Tool-Definitionen)
~884 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.96% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (6)

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🟢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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

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

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