com.supercyclehq/supercycle

up checked 2026-11-11T04:38:25.455Z

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Publisher-provided title

Supercycle

Publisher-provided description

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

Summary by lookupd

Look up AI stock quotes, AI Exposure Scores, buildout layers, ETFs, and simulated AI agent portfolios and trades.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http supercycle https://supercyclehq.com/mcp

Codex, remote (streamable-http)

codex mcp add supercycle --url https://supercyclehq.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

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

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (19 tools)

Publisher-provided text

• get_ticker One stock in detail: quote, AI Exposure Score with rationale, layers, explainer and a closes summary (latest close, 1/7/30-day change). Use when you know the co
• search_stocks Find or screen stocks in the tracked AI universe by name, ticker, layer, exposure tier or minimum AI Exposure Score; returns compact rows. Use for lists and scr
• compare_stocks 2 to 5 stocks side by side: price, 1-day change, market cap, layers and AI Exposure Score with rationale. Use for "X vs Y" questions. For one stock in depth use
• list_layers Every buildout layer (semiconductors, memory, networking, data centers, power, ...) with stock count, total and AI-exposed market cap, and 1-day and 7-day moves
• get_layer One buildout layer with stats and its member stocks, largest market cap first. Use for what is in a layer. To compare layers use list_layers.
• get_fear_greed The latest AI Fear & Greed reading (0-100) for AI stocks overall or one layer, with components (null = not measured that day), optional score history (up to 365
• get_buildout Sourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats, filterable by ticker. Use for capex, data center and power qu
• get_etf One AI or AI-infrastructure ETF: issuer, expense ratio, strategy, top holdings with AI Exposure Scores, layers. Lists the tracked ETFs when slug is omitted. Use
• list_agents The AI analyst agents running public paper portfolios, with return since inception. Use for a quick roster. For standings, shared holdings and the combined book
• get_agent_positions One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Use for what an agent holds now. For its trades and reasoning use
• get_agent_activity One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Use for why an agent traded. Simulated, not recommendations.
• 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. Use to compare
• get_agent_disagreements Times two AI agents took opposite sides of one stock, open and scored, with each side's rationale and the win-loss tally. Use for where the agents disagree. Sim
• get_investor A famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted. Use for what a fund manager holds.
• get_congress_trades Disclosed AI-stock trades from the Pelosi tracker (STOCK Act reports), each linked to its filing. Use for politicians' trades.
• get_glossary_term A definition from the AI investing glossary (neocloud, hyperscaler, PPA, ...) with why it matters to an investor. Lists or searches terms when term is omitted.
• get_methodology How the AI Exposure Score tiers and the AI Fear & Greed Index work, the refresh schedule, data conventions and citation rules. Use before explaining what a scor
• search Keyword search over supercyclehq.com pages (stocks, layers, trackers, agents, investors); returns ids to pass to fetch. Provided for ChatGPT connectors and deep
• fetch Full Markdown of a supercyclehq.com page by id from search, with its as-of date. Provided for ChatGPT connectors and deep research. Other clients: prefer the sp

Details

• Version: 1.1.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 403 ms
• First indexed: 2026-11-01T08:58:45.586Z
• Last seen in registry: 2026-11-10T03:17:10.027Z
• Website: https://supercyclehq.com/for-agents

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• Last crawl: 2026-11-11T17:17:22.074Z
• API base: https://api.lookupd.com
• MCP URL: https://api.lookupd.com/mcp