SCRIPTMASTERLABS — PRO-LO

Coherence-gated signal engine MCP: multi-path trade gating, GEX/squeeze reads, paid Jev verdict.

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质量与安全性

A
描述质量
97%
模式完整度
99%
命名质量
83%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(3)

  • LOWTool 'simulate_counterfactual_stress_test' name length outside 3-30 range在 simulate_counterfactual_stress_test 中
  • LOWTool 'execute_gemini_frontier_reasoning' name length outside 3-30 range在 execute_gemini_frontier_reasoning 中
  • LOWTool 'generate_trade_execution_signals' name length outside 3-30 range在 generate_trade_execution_signals 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,702token 数(工具定义)
~643 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.33%)

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": {
    "pro-lo": {
      "url": "https://pro-lo.onrender.com/api/mcp/rpc"
    }
  }
}

远程端点

https://pro-lo.onrender.com/api/mcp/rpcstreamable-http

它能做什么

工具清单

工具(12)

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🟢analyze_narrative_divergence(ticker, timeHorizonDays)

Compares real fundamental signals (P/E, real reference data) against a disclosed, real-price-derived momentum/volatility proxy for narrative intensity. Real fundamental/social sentiment data is not currently wired — narrative-side scoring is disclosed as a proxy, not literal sentiment measurement.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g. NVDA, TSLA, AAPL, MSFT)"
    },
    "timeHorizonDays": {
      "type": "number",
      "description": "Lookback window in days (default: 90)",
      "default": 90
    }
  },
  "required": [
    "ticker"
  ]
}
⚪simulate_counterfactual_stress_test(ticker, scenarioId)

Runs a disclosed hypothetical shock scenario (from a static, pre-defined scenario catalog) against a real live quote. The projected impact is an explicit heuristic model applied to a real spot price, not a claimed prediction.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Target ticker symbol"
    },
    "scenarioId": {
      "type": "string",
      "description": "Pre-configured scenario ID",
      "enum": [
        "taiwan_disruption",
        "fed_hawkish_shock",
        "ai_capex_hangover",
        "dark_pool_liquidity_freeze"
      ]
    }
  },
  "required": [
    "ticker",
    "scenarioId"
  ]
}
🟢classify_microstructure_regime(ticker)

Real dealer gamma exposure (GEX) computed from a real fetched options chain (Tradier/Polygon), and Reg SHO threshold-list status from the SEC fails-to-deliver record via the SqueezeOS FTD oracle.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
⚪execute_gemini_frontier_reasoning(ticker, focusQuestion)

Invokes Google Gemini with real, live-fetched market data as grounding context — no invented inputs are passed to the model.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Target ticker or asset name"
    },
    "focusQuestion": {
      "type": "string",
      "description": "Specific analytical thesis or strategic question to investigate"
    }
  },
  "required": [
    "ticker"
  ]
}
⚪generate_trade_execution_signals(ticker, timeHorizon)

Generates a disclosed-heuristic BUY/SELL/HOLD verdict and selects real, currently-listed option contracts (real strike, real expiration, real bid/ask/greeks) nearest a target delta band from a real fetched chain — never an invented contract.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g., NVDA, AAPL, TSLA, MSFT)"
    },
    "timeHorizon": {
      "type": "string",
      "description": "Target trading horizon (e.g., \"14_days\", \"30_days\", \"45_days\", \"90_days\")",
      "default": "30_days"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢mandelbrot_fractal_analysis(ticker)

Real Rescaled-Range Hurst exponent computed from real historical bars at each real timeframe (15M/1H/4H/1D/1W). Reports real excess kurtosis of the real return series. Does not compute a true Hölder singularity spectrum (requires tick-level history this build does not ingest) — abstains rather than fabricating one.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g. NVDA, TSLA, AMC, GME, SPY)"
    }
  },
  "required": [
    "ticker"
  ]
}
⚪track_volatility_surface(ticker)

Real implied-volatility surface grid built directly from a real fetched options chain across several real expirations — every grid point is a real listed contract, not an interpolated/fabricated one.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
⚪track_gamma_squeeze_mechanics(ticker)

Real squeeze-pressure score from real chain-derived GEX and SEC fails-to-deliver pressure via the SqueezeOS FTD oracle — a disclosed proxy for short-selling pressure, not true short interest.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
⚪live_universe_scanner_scan(filterRegime)

Real wide-market scan (Polygon grouped-daily aggregates across the real US equity universe, not a fixed short symbol list, no pinned symbols) fused with the real per-symbol GEX/Hurst/IV-surface engines above.

输入模式

{
  "type": "object",
  "properties": {
    "filterRegime": {
      "type": "string",
      "description": "Filter criteria: ALL, SQUEEZE, FRACTAL, SKEW",
      "default": "ALL"
    }
  },
  "required": []
}
⚪coherence_gate_review(ticker)

PRO-LO Coherence Gate: multi-path consensus for one ticker across PRO-LO's independent real directional signals (trade-engine composite, daily SMA20/50 trend, SqueezeOS graded picks, SML Triple-Trigger). Returns each path with direction (long/short/flat) and confidence, the coherence score, and pass/block gate. Same formula as the SML mcp-x402 Coherent Gate. Jev (TypeSafe) review is not run over MCP.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢coherence_jev_verdict(ticker, action, claim)

Paid (x402, 0.25 RLUSD) read-only decision product: computes PRO-LO multi-path coherence for a ticker — coherence = |Σ w·d| / Σ w across the signal paths (paths that cannot answer abstain and never vote) — and adds a Jev (TypeSafe AI) review. Verdict is PASS when consensus is non-flat, coherence >= 0.6, at least 2 paths agree, and the agreeing paths span at least 2 distinct data families (the trade composite and daily trend share the price series = one family); otherwise DENY, with a family-blocked DENY naming that reason. Jev review reports status unavailable when TYPESAFE_API_KEY is not configured — never simulated.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g. NVDA, AMC, GME)"
    },
    "action": {
      "type": "string",
      "description": "Optional proposed action this verdict is about (context, echoed back in the result)"
    },
    "claim": {
      "type": "string",
      "description": "Optional claim or context being evaluated (echoed back in the result)"
    }
  },
  "required": [
    "ticker"
  ]
}
⚪earnings_gate_verdict(ticker, earnings_date)

Paid (x402, 0.25 RLUSD) pre-earnings coherence gate: four paths across three data families — SEC EDGAR insider Form 4 open-market direction, SEC fails-to-deliver pressure (SqueezeOS FTD oracle), front-expiration options flow imbalance, and dealer gamma-exposure structure (flow and structure are measured from one chain snapshot = one family) — vote into the fleet coherence formula coherence = |Σ w·d| / Σ w. Verdict is PASS when consensus is non-flat, coherence >= 0.6, at least 2 paths agree, and the agreeing paths span at least 2 distinct data families; otherwise DENY. Paths that cannot answer abstain and are named in the output — they never vote. Includes a Jev (TypeSafe AI) review (status unavailable when not configured — never simulated). SHADOW posture: decision_eligible is false; the gate executes nothing.

输入模式

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "Stock ticker symbol (e.g. NVDA, AAPL, TSLA)"
    },
    "earnings_date": {
      "type": "string",
      "description": "Optional earnings print date (YYYY-MM-DD) to anchor the gate; when omitted, the next real print is read from the Finnhub earnings calendar"
    }
  },
  "required": [
    "ticker"
  ]
}

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最近观测

已验证未记录版本12 个工具