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Supercycle

by FastDrop

MCP Verified 52 minutes ago Registry import free

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

AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios Official MCP Registry: com.supercyclehq/supercycle@1.0.0. Remote endpoint: https://supercyclehq.com/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.supercyclehq/supercycle and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 22 Oct 2026. Not supplied by the maker.

  • 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 reco

  • 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.

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Matched on shared tags and the tools their MCP servers actually expose.

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