# Supercycle

- Registry name: `com.supercyclehq/supercycle` · version 1.0.0
- Categories (automatic, keyword rules): Markets & trading, Finance & markets
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.supercyclehq%2Fsupercycle
- Server page: https://mcpstation.net/s/com.supercyclehq--supercycle.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://supercyclehq.com/mcp`

## Tools (as reported by the server, not verified)

- `get\_ticker`: 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.
- `search\_stocks`: 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.
- `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.
- `get\_layer`: One buildout layer with stats and its member stocks, largest market cap first.
- `get\_fear\_greed`: 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.
- `get\_buildout`: Sourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats. Filter by ticker.
- `list\_agents`: The AI analyst agents running public paper portfolios, with return since inception. Simulated, not recommendations.
- `get\_agent\_positions`: One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.
- `get\_agent\_activity`: One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.
- `get\_investor`: A famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted.
- `get\_congress\_trades`: Disclosed AI-stock trades from the Pelosi tracker \(STOCK Act reports\), each linked to its filing.
- `get\_methodology`: How the AI Exposure Score tiers and the AI Fear & Greed Index work, the refresh schedule, data conventions and citation rules.
- `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.
- `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. Simulated, not recommendations.
- `search`: Search supercyclehq.com for stocks, layers, trackers, agents and investors. Returns ids to pass to fetch.
- `fetch`: Full Markdown of a supercyclehq.com page by id from search, with its as-of date.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html