Assistant Hub

Ranked crypto setups with a graded track record, and trading skills with public records.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
97%
Vollständigkeit des Schemas
80%
Qualität der Benennung
92%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

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

Kontextkosten

~1,342Tokens (Tool-Definitionen)
~457 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.05% 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": {
    "assistant-hub": {
      "url": "https://rmassistanthub.io/mcp"
    }
  }
}

Remote-Endpunkte

https://rmassistanthub.io/mcpstreamable-http
https://rmassistanthub.io/mcpsse

Was es kann

Tool-Inventar

Tools (12)

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⚪research_coin(question, coins)

Run the 3-agent orchestration pipeline (Sentiment: Grok, Technical: Groq, Synthesis: Gemini; Gemini stands in when Grok or Groq is unavailable) on a crypto research question.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "description": "Research question to analyze"
    },
    "coins": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Coin symbols to focus on (e.g. ['BTC', 'ETH'])"
    }
  },
  "required": [
    "question"
  ]
}
🟢get_forecast(coin)

Get AI-powered price forecast for a coin: SMA, RSI, Bollinger Bands, and narrative.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "coin": {
      "type": "string",
      "description": "Coin symbol (BTC, ETH, SOL, etc.)"
    }
  },
  "required": [
    "coin"
  ]
}
🟢get_whale_intel(coin)

AI commentary on recent Etherscan transfers plus macro context. The on-chain input is narrow: for ETH, one well-known wallet's latest transactions; for LINK, the token contract's latest transfers; neither is size-filtered or market-wide. Other coins get no on-chain data, and the answer says so.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "coin": {
      "type": "string",
      "description": "Coin symbol to analyze (default: ETH)"
    }
  }
}
⚪strategy_analysis(coin, strategy, params, from, to)

Strategy Lab: backtest a trading strategy on historical OHLCV plus Monte Carlo and Walk-Forward robustness analysis. Strategies: dca, grid, momentum, custom. Premium — x402 $0.50.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "coin": {
      "type": "string",
      "description": "Coin symbol (BTC, ETH, SOL, ...)"
    },
    "strategy": {
      "type": "string",
      "enum": [
        "dca",
        "grid",
        "momentum",
        "custom"
      ],
      "description": "Strategy id"
    },
    "params": {
      "type": "object",
      "description": "Strategy params: capital, fee %, periods, grid levels, etc."
    },
    "from": {
      "type": "string",
      "description": "Start date/epoch (optional)"
    },
    "to": {
      "type": "string",
      "description": "End date/epoch (optional)"
    }
  },
  "required": [
    "coin",
    "strategy"
  ]
}
⚪pulse_deep_dive

Deep-dive on the current Daily Macro Pulse, written by an AI from the pulse text alone: for each opportunity, the reasoning, what would invalidate it, risk level, catalysts to watch and a trade thesis framed as conditions to check. It has no on-chain, whale, order-book or live price data and says so rather than inventing any. Premium — x402 $0.30.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢best_setups(window)

Up to eight ranked setups for one window (1m, 1h, 1d, 1w or 1y), each with its score, the scored inputs, why now, what would invalidate it, a risk posture and an as-of time. Deterministic: no LLM touches the score. An empty window says why. The ranking has no proven edge yet: see get_setups_track_record. Free.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "window": {
      "type": "string",
      "enum": [
        "1m",
        "1h",
        "1d",
        "1w",
        "1y"
      ],
      "description": "Time window (default 1d)"
    }
  }
}
🟢get_setups_track_record

How the desk's past setups turned out, per window: every published card graded as a buy over its window's horizon, close to close from exchange candles, against BTC over the same span. Hit rate withheld below 30 graded calls; the method is in the payload. Free.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢list_trading_skills

Installable trading skills: versioned, hashed rule sets an agent runs on paper in its own loop. Each lists its label (experimental, forward-tested, proven, halted), the regimes it may trade in, its pairs and install count. Also lists community uploads: unverified, paper-only, no card. Free.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
🟢get_trading_skill(id)

One skill's full manifest (rules, parameters with bounds, risk contract, allowed regimes, engine config) and its card: the rules run on stored hourly bars before and since listing, next to buy-and-hold, with drawdown and round trips won after fees. Free.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Skill id"
    }
  },
  "required": [
    "id"
  ]
}
⚪install_trading_skill(id)

The installable bundle for a skill, pinned to its hash: manifest, run loop and risk contract. Installs for paper trading; live trading needs the owner to arm it. Free.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Skill id"
    }
  },
  "required": [
    "id"
  ]
}
🟢get_skill_regime(id, pair)

Whether a skill may open a position on each of its pairs now: the pair's regime from closed hourly bars, whether the skill allows it, for a feature-gated skill whether the newest bar's stored feature row and Fear & Greed (as readable at its close) pass the gate, whether the bars are fresh, and whether the skill is halted. Call before every new position. Free.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Skill id"
    },
    "pair": {
      "type": "string",
      "description": "One pair, e.g. BTC (default: all the skill's pairs)"
    }
  },
  "required": [
    "id"
  ]
}
🟢search_signals(coin, status, limit)

Browse community trade signals and how they resolved (win/loss is checked against CoinGecko prices at expiry). Signals whose creator anchored them on Base carry an on-chain transaction hash; the rest do not. Signals appear here an hour after they are posted. Filter by coin and status.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "coin": {
      "type": "string",
      "description": "Filter by coin (optional)"
    },
    "status": {
      "type": "string",
      "enum": [
        "active",
        "resolved"
      ],
      "description": "Signal status"
    },
    "limit": {
      "type": "number",
      "description": "Max results (default 20)"
    }
  }
}

Community

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verifiziertVersion nicht aufgezeichnet12 Tools
verifiziertVersion nicht aufgezeichnet12 Tools