MCP server

Supercycle

com.supercyclehq/supercycle

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

supercyclehq.com (verified by the MCP Registry)

Status

Working at last check

Tools

16

Token cost

About 1,884 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.supercycle]
url = "https://supercyclehq.com/mcp"

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"supercycle":{"type":"http","url":"https://supercyclehq.com/mcp"}}}

Antigravity

agy mcp add supercycle https://supercyclehq.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"supercycle","server_url":"https://supercyclehq.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"supercycle","server_url":"https://supercyclehq.com/mcp"}

Tools

• fetch ~89 tokens
  Full Markdown of a supercyclehq.com page by id from search, with its as-of date.
• get_agent_activity ~168 tokens
  One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.
• get_agent_disagreements ~124 tokens
  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.
• get_agent_positions ~107 tokens
  One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.
• get_buildout ~179 tokens
  Sourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats. Filter by ticker.
• get_congress_trades ~90 tokens
  Disclosed AI-stock trades from the Pelosi tracker (STOCK Act reports), each linked to its filing.
• get_desk_view ~76 tokens
  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_fear_greed ~147 tokens
  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_investor ~96 tokens
  A famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted.
• get_layer ~117 tokens
  One buildout layer with stats and its member stocks, largest market cap first.
• get_methodology ~63 tokens
  How the AI Exposure Score tiers and the AI Fear & Greed Index work, the refresh schedule, data conventions and citation rules.
• get_ticker ~176 tokens
  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.
• list_agents ~58 tokens
  The AI analyst agents running public paper portfolios, with return since inception. Simulated, not recommendations.
• list_layers ~71 tokens
  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.
• search ~98 tokens
  Search supercyclehq.com for stocks, layers, trackers, agents and investors. Returns ids to pass to fetch.
• search_stocks ~225 tokens
  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.

Browse

• Converting to Markdown
• News
• Stocks and markets

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