midasflow-mcp-quickstart

Agent-native crypto market-data over MCP+REST: order flow, whales, liquidations, calibrated scores

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
95%
命名品質
94%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~4,448Token(工具定義)
~1.9 KB典型回應大小
顯著的注意力影響(128k 上下文的 3.48%)

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": {
    "midasflow-mcp-quickstart": {
      "url": "https://mcp.midasflow.ai/mcp"
    }
  }
}

遠端端點

https://mcp.midasflow.ai/mcpstreamable-http

它能做什麼

工具清單

工具(14)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_signals(source, quality, symbol, limit, cursor)

Pull recent MidasFlow SignalEvent records (newest first). quality='normal' (default) = the bucketed signal log across source families; quality='elite' = the rare highest-conviction multi-model-consensus crown feed (premium+, lagged anti-front-run). Tier-gated + moat-scrubbed server-side. Market DATA, not advice. Routes: normal→/v1/signals/pull, elite→/v1/signals/elite.

輸入結構描述

{
  "type": "object",
  "properties": {
    "source": {
      "default": "",
      "description": "Source-family filter: '' / 'all' | 'pump' | 'flow' | 'mfb' (case/space-insensitive). Ignored when quality='elite'.",
      "title": "Source",
      "type": "string"
    },
    "quality": {
      "default": "normal",
      "description": "'normal' (default, /v1/signals/pull) | 'elite' (crown consensus feed, /v1/signals/elite, premium+).",
      "title": "Quality",
      "type": "string"
    },
    "symbol": {
      "default": "",
      "description": "Single symbol filter, e.g. 'BTCUSDT' (empty = all symbols).",
      "title": "Symbol",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Max events to return (normal 1-200, elite 1-50; clamped server-side). Default 20.",
      "title": "Limit",
      "type": "integer"
    },
    "cursor": {
      "default": 0,
      "description": "Pagination cursor (normal feed only) — pass 'next_cursor' from the previous page for older events (0 = newest).",
      "title": "Cursor",
      "type": "number"
    }
  },
  "title": "get_signalsArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_signalsDictOutput"
}
🟢score_symbol(symbol, direction, include_safety)

CROWN data product: calibrated P(first TP1 before SL) band + coarse trade plan (TP ladder %, SL %, weights) for ONE symbol, FOLDED with a pre-trade feed-safety check (is the feed live/real-volume/fresh, no phantom ticks). Coverage is present-or-null — most symbols return p_tp1_band=null (valid, NOT an error). Feed the band into calc_ev; never read it as buy/sell. Routes: /v1/score/{symbol} + folds /v1/symbol/check as `safety`.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive). A calibrated score exists only for recently-evaluated symbols; most return p_tp1_band=null (valid).",
      "title": "Symbol",
      "type": "string"
    },
    "direction": {
      "default": "long",
      "description": "'long' | 'short' — steers the plan ladder only; the P(TP1) score itself is direction-agnostic.",
      "title": "Direction",
      "type": "string"
    },
    "include_safety": {
      "default": true,
      "description": "If true (default), also fold a /v1/symbol/check feed-safety read into the response under `safety`. Set false to skip that extra call.",
      "title": "Include Safety",
      "type": "boolean"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "score_symbolArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "score_symbolDictOutput"
}
🟢get_candles(symbol, tf, limit)

Recent OHLCV candle bars for a symbol at a chosen timeframe — the raw price/volume history other tools are derived from. Inspect trend, range, volatility, volume profile, or feed your own indicators. Market DATA, not advice. A symbol outside the candle store returns an empty bars list (normal, not an error). Routes: /v1/candles/{symbol}.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive).",
      "title": "Symbol",
      "type": "string"
    },
    "tf": {
      "default": "1h",
      "description": "Timeframe / bar size, e.g. '1m' | '5m' | '15m' | '1h' | '4h' | '1d'. Default '1h'.",
      "title": "Tf",
      "type": "string"
    },
    "limit": {
      "default": 200,
      "description": "Max bars, newest last (1-1000; clamped server-side). Default 200.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "get_candlesArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_candlesDictOutput"
}
🟢get_orderbook(symbol, include_sr, sr_timeframe)

Live order-book snapshot for a symbol — bid/ask walls, book imbalance, spread — FOLDED with support/resistance levels (classic TA fused with cross-exchange book walls + Fibonacci) so you see resting liquidity AND the level map in one call. Cross-exchange aggregate, derived levels only. Market DATA, not advice; thin/uncovered symbols return null fields (normal). Routes: /v1/orderbook/{symbol} + folds /v1/sr as `sr`.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive). Resolves the cross-venue aggregate.",
      "title": "Symbol",
      "type": "string"
    },
    "include_sr": {
      "default": true,
      "description": "If true (default), fold support/resistance + Fibonacci levels (/v1/sr) into the response under `sr`. Set false to skip.",
      "title": "Include Sr",
      "type": "boolean"
    },
    "sr_timeframe": {
      "default": "1h",
      "description": "Timeframe for the folded S/R computation. Default '1h'.",
      "title": "Sr Timeframe",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "get_orderbookArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_orderbookDictOutput"
}
🟢get_flow(symbol, kind)

Per-symbol order-flow microstructure, grouped by `kind`. kind='vpin'/'all' (default)=full snapshot (CVD trend+divergence, VPIN toxicity, sweep state, buy/whale aggression, /v1/flow); 'cvd'=CVD series (/v1/cvd); 'sweeps'=stop-sweep events (/v1/sweeps); 'cross'=cross-exchange flow origin (/v1/cross_flow). Realtime market CONTEXT, NOT advice / a win-rate. Empty/unknown kind → a menu of kinds. VPIN is ONE contested signal — pair with get_accuracy before treating it as edge.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "default": "",
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive). Resolves the cross-venue aggregate.",
      "title": "Symbol",
      "type": "string"
    },
    "kind": {
      "default": "all",
      "description": "'vpin'/'all' (full /v1/flow snapshot, default) | 'cvd' (/v1/cvd series) | 'sweeps' (/v1/sweeps) | 'cross' (/v1/cross_flow origin). Empty/unknown → menu.",
      "title": "Kind",
      "type": "string"
    }
  },
  "title": "get_flowArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_flowDictOutput"
}
🟢get_heatmap(symbol)

Liquidation-heatmap matrix for a symbol — price levels where leveraged positions cluster and are likely force-liquidated (price-magnet zones / liquidity pools). Anticipate where a move may accelerate or stall. Market DATA, not advice; a symbol with no clustering returns an empty matrix (normal, not an error). Routes: /v1/heatmap/{symbol}.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive).",
      "title": "Symbol",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "get_heatmapArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_heatmapDictOutput"
}
🟢get_context(kind, symbol)

Contextual market reads, grouped by `kind`. kind='regime'=market-regime labels (/v1/regime, market-wide, no symbol needed); 'phase'=move-lifecycle / entry-timing for a symbol (/v1/phase, premium+); 'derivatives'=normalized cross-exchange funding/OI/basis summary (/v1/derivatives); 'funding'=PER-VENUE funding+OI (/v1/funding); 'squeeze'=liquidation-cascade proximity (/v1/squeeze); 'intel'=per-symbol aggregated signal-quality roll-up (/v1/intel). Market DATA / context, NOT advice and NOT a win-rate. Empty/unknown kind → a menu of kinds.

輸入結構描述

{
  "type": "object",
  "properties": {
    "kind": {
      "default": "",
      "description": "'regime' (market-wide, /v1/regime) | 'phase' (/v1/phase) | 'derivatives' (/v1/derivatives) | 'funding' (/v1/funding) | 'squeeze' (/v1/squeeze) | 'intel' (/v1/intel). Empty/unknown → menu.",
      "title": "Kind",
      "type": "string"
    },
    "symbol": {
      "default": "",
      "description": "Perp symbol, e.g. 'BTCUSDT' (required for every kind EXCEPT 'regime', which is market-wide). Case/space-insensitive.",
      "title": "Symbol",
      "type": "string"
    }
  },
  "title": "get_contextArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_contextDictOutput"
}
🟢get_whales(symbol, kind, window, exchange)

Large-player / forced-flow intel, grouped by `kind`. kind='whales' (default)=recent large ('whale') prints for a symbol, banded size+side (/v1/whales); kind='liquidations'=multi-exchange liquidation prints over a rolling window, long-liq vs short-liq notional bands per venue (/v1/liquidations; empty symbol = market-wide top movers by liq notional). Raw notional is banded. Market DATA, NOT a signal/advice. Empty/unknown kind → a menu of kinds.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "default": "",
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive). Required for kind='whales'; empty for kind='liquidations' = market-wide top movers.",
      "title": "Symbol",
      "type": "string"
    },
    "kind": {
      "default": "whales",
      "description": "'whales' (default, /v1/whales) | 'liquidations' (/v1/liquidations). Empty/unknown → menu.",
      "title": "Kind",
      "type": "string"
    },
    "window": {
      "default": 60,
      "description": "Liquidations lookback seconds, 1-300 (kind='liquidations' only; clamped). Default 60.",
      "title": "Window",
      "type": "integer"
    },
    "exchange": {
      "default": "",
      "description": "Liquidations venue filter (kind='liquidations' only): '' / 'all' for the full market, or a single major CEX. Unknown venue = error.",
      "title": "Exchange",
      "type": "string"
    }
  },
  "title": "get_whalesArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_whalesDictOutput"
}
🟢get_market(kind, symbol, limit)

Whole-market reads, grouped by `kind`. kind='movers' (default)=top movers ranked (/v1/movers); 'overview'=whole-market roll-up — breadth / direction / activity (/v1/market); 'anomalies'=per-symbol or cross-market anomaly board (volume_spike/abnormal_spread/phantom_tick) with severity bands (/v1/anomalies). Cheap top-level CONTEXT to find what's MOVING before drilling into one symbol. Market DATA, NOT advice. Empty/unknown kind → a menu of kinds.

輸入結構描述

{
  "type": "object",
  "properties": {
    "kind": {
      "default": "movers",
      "description": "'movers' (default, /v1/movers) | 'overview' (/v1/market) | 'anomalies' (/v1/anomalies). Empty/unknown → menu.",
      "title": "Kind",
      "type": "string"
    },
    "symbol": {
      "default": "",
      "description": "Anomalies single-symbol filter (kind='anomalies' only; empty = cross-market board). Case/space-insensitive.",
      "title": "Symbol",
      "type": "string"
    },
    "limit": {
      "default": 0,
      "description": "Max rows for movers (1-100, default 24) / anomalies (1-200, default 20); clamped server-side.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "get_marketArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_marketDictOutput"
}
🟢get_accuracy(kind, source, window)

Realized track-record (proof of edge, forward-only, Wilson-bounded), grouped by `kind`. kind='accuracy' (default)=source×boost first-TP win-rate + boost lift in the canonical TP1 frame (/v1/accuracy); kind='outcomes'=realized aggregate track-record over a window from resolved signal_outcomes, model-free (/v1/outcomes). Win-rate frame = P(price hit TP1 before SL), NOT realized PnL. Model internals never exposed. Empty/unknown kind → a menu of kinds.

輸入結構描述

{
  "type": "object",
  "properties": {
    "kind": {
      "default": "accuracy",
      "description": "'accuracy' (default, /v1/accuracy) | 'outcomes' (/v1/outcomes). Empty/unknown → menu.",
      "title": "Kind",
      "type": "string"
    },
    "source": {
      "default": "",
      "description": "Source-family filter (kind='accuracy', client-side): '' = all | 'pump' | 'flow' | 'breakout' | 'unified' | 'other'.",
      "title": "Source",
      "type": "string"
    },
    "window": {
      "default": 0,
      "description": "Track-record window in days (kind='outcomes'; passed through to /v1/outcomes). 0 = endpoint default.",
      "title": "Window",
      "type": "integer"
    }
  },
  "title": "get_accuracyArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "get_accuracyDictOutput"
}
🟢account(kind)

Your mf_ key's account view, grouped by `kind`. kind='account' (default)=tier/product, weighted daily quota, used/remaining today, billing, prepaid balance (/v1/account); kind='usage'=today's count + cap AND the endpoint_weights map (exact per-call cost units, /v1/usage); kind='tiers'=the Flow data-product tier ladder, delivered-now vs roadmap (/v1/tiers). Read account/usage to self-throttle by your remaining quota. Empty/unknown kind → a menu of kinds.

輸入結構描述

{
  "type": "object",
  "properties": {
    "kind": {
      "default": "account",
      "description": "'account' (default, /v1/account) | 'usage' (/v1/usage — incl endpoint_weights) | 'tiers' (/v1/tiers). Empty/unknown → menu.",
      "title": "Kind",
      "type": "string"
    }
  },
  "title": "accountArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "accountDictOutput"
}
🟢backtest(symbol, entry, tp, sl, lookback_days, ...)

LAB / RESEARCH tool — replay an arbitrary {symbol, entry, tp, sl} setup over MidasFlow's 1m candle history and get its historical P(TP1-before-SL) + EV, in the canonical first-touch TP1 frame (same frame as get_accuracy). Historical market DATA, NOT a prediction or advice. Low-sample setups return a directional band (normal, not an error). NOTE: live results are gated behind ff:backtest_live — until that flips, EVERY tier gets a coming-soon envelope (no live numbers). Routes: POST /v1/backtest.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive).",
      "title": "Symbol",
      "type": "string"
    },
    "entry": {
      "description": "Entry price; defines the TP/SL offsets replayed over historical anchors.",
      "title": "Entry",
      "type": "number"
    },
    "tp": {
      "description": "Take-profit price, or an ordered list of prices (nearest = TP1 banked first).",
      "title": "Tp"
    },
    "sl": {
      "description": "Stop-loss price. Direction (long/short) is inferred from tp/sl vs entry.",
      "title": "Sl",
      "type": "number"
    },
    "lookback_days": {
      "default": 30,
      "description": "Historical window to sample anchors from, in days (clamped 7-90). Default 30.",
      "title": "Lookback Days",
      "type": "integer"
    },
    "max_hold_min": {
      "default": 240,
      "description": "Forward first-touch window per anchor in minutes (clamped 15-1440). Default 240. Timeout anchors are excluded from p, not losses.",
      "title": "Max Hold Min",
      "type": "integer"
    }
  },
  "required": [
    "symbol",
    "entry",
    "tp",
    "sl"
  ],
  "title": "backtestArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "backtestDictOutput"
}
🟢analyze(symbol, lang)

LAB / RESEARCH tool — the full MidasFlow AI-Analyst report for a symbol: a synthesized narrative fusing flow, derivatives, levels, regime and signal context into a human-readable read RIGHT NOW. This is the HEAVIEST call (composes many sub-feeds) so it costs MORE units and requires a TOP tier; call it sparingly, AFTER cheaper context tools. Market DATA / AI-generated analytics, NOT financial advice. Routes: /v1/analyze/{symbol}.

輸入結構描述

{
  "type": "object",
  "properties": {
    "symbol": {
      "description": "Perp symbol, e.g. 'BTCUSDT' (case/space-insensitive).",
      "title": "Symbol",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "description": "Report language, e.g. 'en' | 'ru' | 'uk' | 'es' (BCP-47-ish). Default 'en'.",
      "title": "Lang",
      "type": "string"
    }
  },
  "required": [
    "symbol"
  ],
  "title": "analyzeArguments"
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true,
  "title": "analyzeDictOutput"
}
🟢calc_ev(win_rate_pct, avg_win_pct, avg_loss_pct, stake_usd)

LAB tool — pure local expected-value calculator over a win-rate and average win/loss percentages. No network, no advice, 0 units. Feed a get_accuracy bucket win-rate (or a score_symbol band) to reason about expectation per trade.

輸入結構描述

{
  "type": "object",
  "properties": {
    "win_rate_pct": {
      "description": "Probability of a winning trade, in percent (0–100). Feed from a get_accuracy bucket win-rate.",
      "title": "Win Rate Pct",
      "type": "number"
    },
    "avg_win_pct": {
      "description": "Average gain on a win, in percent (e.g. 2.0 = +2%).",
      "title": "Avg Win Pct",
      "type": "number"
    },
    "avg_loss_pct": {
      "description": "Average loss on a loss, in percent magnitude (e.g. 1.5 = -1.5%). Sign is ignored.",
      "title": "Avg Loss Pct",
      "type": "number"
    },
    "stake_usd": {
      "default": 100,
      "description": "Notional stake to scale EV into dollars. Default 100.",
      "title": "Stake Usd",
      "type": "number"
    }
  },
  "required": [
    "win_rate_pct",
    "avg_win_pct",
    "avg_loss_pct"
  ],
  "title": "calc_evArguments"
}

輸出結構描述

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

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