Supercycle

Name: Supercycle
Author: com.supercyclehq

MCP serverMCP

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

by com.supercyclehqhomepage ↗v1.0.0

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability5/5 checks ok

30 days ago

when	check	result	http	latency	detail
2 h ago	mcp initialize	ok	200	192 ms	server supercycle 1.0.0 · protocol 2025-06-18 · 16 tools
9 h ago	mcp initialize	ok	200	202 ms	server supercycle 1.0.0 · protocol 2025-06-18 · 16 tools
17 h ago	mcp initialize	ok	200	145 ms	server supercycle 1.0.0 · protocol 2025-06-18 · 16 tools
25 h ago	mcp initialize	ok	200	201 ms	server supercycle 1.0.0 · protocol 2025-06-18 · 16 tools
32 h ago	mcp initialize	ok	200	197 ms	server supercycle 1.0.0 · protocol 2025-06-18 · 16 tools

Tools observed via MCP handshake

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 tr
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
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.

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No long description beyond the summary.

kind Official MCP Registry

name Official MCP Registry

summary Official MCP Registry

version Official MCP Registry

description Official MCP Registry

homepageUrl Official MCP Registry

publisherName Official MCP Registry

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Official MCP Registrycom.supercyclehq/supercycle

first seen 33 h ago · fetched 33 h agoopen ↗

Field history (6 recent events)

33 h ago · declared · summary → "AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios"
33 h ago · declared · description → "AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios"
33 h ago · declared · publisherName → "com.supercyclehq"
33 h ago · declared · homepageUrl → "https://supercyclehq.com/for-agents"
33 h ago · declared · version → "1.0.0"
33 h ago · declared · protocols → ["mcp"]

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