Supercycle
AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (3)
- LOWTool 'get_agent_positions' description lacks action verbin get_agent_positions
- LOWTool 'get_methodology' description lacks action verbin get_methodology
- LOWTool 'fetch' suggests web access but openWorldHint=falsein fetch
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"supercycle": {
"url": "https://supercyclehq.com/mcp"
}
}
}Remote-Endpunkte
https://supercyclehq.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (16)
🟢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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢get_layer(slug, limit)
One buildout layer with stats and its member stocks, largest market cap first.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢get_agent_positions(agent)
One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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"
]
}Community
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