Supercycle

AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
90%
Integridad del esquema
79%
Calidad de los nombres
100%
Riesgo de envenenamiento
100%
Coincidencia de permisos
90%
Cumplimiento del protocolo
100%

Hallazgos (3)

  • LOWTool 'get_agent_positions' description lacks action verben get_agent_positions
  • LOWTool 'get_methodology' description lacks action verben get_methodology
  • LOWTool 'fetch' suggests web access but openWorldHint=falseen fetch

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~2,125Tokens (definiciones de herramientas)
~666 BTamaño de respuesta típico
Impacto moderado en la atención (1.66% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "supercycle": {
      "url": "https://supercyclehq.com/mcp"
    }
  }
}

Puntos de conexión remotos

https://supercyclehq.com/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (16)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢get_ticker(ticker, include)

One AI-buildout stock: price, AI Exposure Score with rationale, layers, explainer, 90 days of closes, and optional history, financials, 13F holders, congress trades and news. Informational, not a recommendation.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "minLength": 1,
      "maxLength": 40,
      "description": "Ticker (NVDA) or site slug (nvidia)."
    },
    "include": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "history",
          "financials",
          "holders",
          "congress",
          "news"
        ]
      },
      "description": "Extra sections. history returns 1 year instead of 90 days."
    }
  },
  "required": [
    "ticker"
  ]
}
🟢search_stocks(query, layer, minScore, tier, limit)

Find stocks in the tracked AI universe by name or ticker, or filter by layer, exposure tier and minimum AI Exposure Score. Informational, not a recommendation.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 100,
      "description": "Company name or ticker."
    },
    "layer": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60,
      "description": "Buildout layer slug, e.g. semiconductors (see list_layers)."
    },
    "minScore": {
      "type": "number",
      "minimum": 0,
      "maximum": 100,
      "description": "Minimum AI Exposure Score."
    },
    "tier": {
      "type": "string",
      "minLength": 1,
      "maxLength": 20,
      "description": "Exposure tier: Pure Play, Core, Strategic, Growing, Peripheral."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "description": "Default 20."
    }
  }
}
🟢list_layers

The buildout layers (semiconductors, memory, networking, data centers, power, ...) with stock count, total and AI-exposed market cap, and 1-day and 7-day moves.

Esquema de entrada

{
  "type": "object",
  "properties": {}
}
🟢get_layer(slug, limit)

One buildout layer with stats and its member stocks, largest market cap first.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60,
      "description": "Layer slug from list_layers."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 200,
      "description": "Members to return, largest market cap first. Default 25."
    }
  },
  "required": [
    "slug"
  ]
}
🟢get_fear_greed(layer, historyDays)

Today's AI Fear & Greed reading (0-100) for AI stocks overall or one layer, with components (null = not measured that day) and optional score history.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "layer": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60,
      "description": "Layer slug for a per-layer reading; omit for the whole index."
    },
    "historyDays": {
      "type": "integer",
      "minimum": 1,
      "maximum": 365,
      "description": "Also return the index score series for this many calendar days."
    }
  }
}
🟢get_buildout(section, ticker, limit)

Sourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats. Filter by ticker.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "section": {
      "type": "string",
      "enum": [
        "stats",
        "capex",
        "projects",
        "power_deals"
      ],
      "description": "stats: headline totals; capex: hyperscaler capex; projects: data center projects; power_deals: power purchase deals."
    },
    "ticker": {
      "type": "string",
      "minLength": 1,
      "maxLength": 12,
      "description": "Only rows linked to this ticker."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 200,
      "description": "Default 50."
    }
  },
  "required": [
    "section"
  ]
}
🟢list_agents

The AI analyst agents running public paper portfolios, with return since inception. Simulated, not recommendations.

Esquema de entrada

{
  "type": "object",
  "properties": {}
}
🟢get_agent_positions(agent)

One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "agent": {
      "type": "string",
      "minLength": 1,
      "maxLength": 40,
      "description": "Agent slug: capex-hawk, druck or reader (see list_agents)."
    }
  },
  "required": [
    "agent"
  ]
}
🟢get_agent_activity(agent, kind, limit)

One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "agent": {
      "type": "string",
      "minLength": 1,
      "maxLength": 40,
      "description": "Agent slug (see list_agents)."
    },
    "kind": {
      "type": "string",
      "enum": [
        "trades",
        "notes",
        "memos"
      ],
      "description": "trades: trade log; notes: daily notes; memos: research memos."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Default 20 (5 for memos)."
    }
  },
  "required": [
    "agent",
    "kind"
  ]
}
🟢get_investor(slug)

A famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60,
      "description": "Investor slug; omit to list every tracked 13F investor."
    }
  }
}
🟢get_congress_trades(limit)

Disclosed AI-stock trades from the Pelosi tracker (STOCK Act reports), each linked to its filing.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Most recent AI-stock trades to return. Default 25."
    }
  }
}
🟢get_methodology

How the AI Exposure Score tiers and the AI Fear & Greed Index work, the refresh schedule, data conventions and citation rules.

Esquema de entrada

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

All AI agents as one desk: combined paper book vs benchmarks, standings, stocks more than one agent holds, latest orders and open disagreements. Simulated, not recommendations.

Esquema de entrada

{
  "type": "object",
  "properties": {}
}
🟢get_agent_disagreements(status, limit)

Times two AI agents took opposite sides of one stock, open and scored, with each side's rationale and the win-loss tally. Simulated, not recommendations.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": [
        "open",
        "scored",
        "all"
      ],
      "description": "Default all."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Default 20 per status."
    }
  }
}
🟢search(query)

Search supercyclehq.com for stocks, layers, trackers, agents and investors. Returns ids to pass to fetch.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200,
      "description": "What to look for: a company, ticker, layer, tracker or agent."
    }
  },
  "required": [
    "query"
  ]
}
🟢fetch(id)

Full Markdown of a supercyclehq.com page by id from search, with its as-of date.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200,
      "description": "An id from search results (a site path such as /stock/nvidia)."
    }
  },
  "required": [
    "id"
  ]
}

Comunidad

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Evidencia

Observaciones recientes

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