# Supercycle (remote · supercyclehq.com)

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

- Trust score: 73/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-06

## Components

- remote · `supercyclehq.com`: 73/100 (this document), [markdown](https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq.md), [page](https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq)

## Channel facts

- Endpoint: `https://supercyclehq.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-06.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Nothing on it is marked destructive, but we can't show that an anonymous caller can only read: full credit needs the server to list at least one tool and every tool to be verifiably read-only. We use a best-effort check of tool names and descriptions to tell read-only tools from tools that change things, so some genuinely read-only tools may not get full credit. Names that start with a read verb (get, list, read, search and similar) and accurate readOnlyHint annotations help. Meet that to earn full credit, or require authorisation.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 43/100
  - 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1143 tokens (~51/item across 22 items; 16 tools + 6 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 47/100
  - Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 16 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### How do I install the Supercycle MCP server?

Supercycle is a hosted endpoint at https://supercyclehq.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

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

### Cursor

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

### VS Code

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-supercyclehq-supercycle": {
      "type": "remote",
      "url": "https://supercyclehq.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-supercyclehq-supercycle --url 'https://supercyclehq.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-supercyclehq-supercycle:
    url: "https://supercyclehq.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-supercyclehq-supercycle": {
      "Transport": "http",
      "Url": "https://supercyclehq.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-supercyclehq-supercycle -t streamable-http -u 'https://supercyclehq.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-supercyclehq-supercycle": {
      "type": "http",
      "url": "https://supercyclehq.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-06 (score 73, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-11-04 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-02 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-31 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-28 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 67, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-23 (score 66)

First indexed and scored.

## MCP tools (16)

### `get_ticker` (~97 tokens)

Get a stock

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.

Input parameters:

- `include` (array): Extra sections. history returns 1 year instead of 90 days.
- `ticker` (string, required): Ticker (NVDA) or site slug (nvidia).

### `search_stocks` (~116 tokens)

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.

Input parameters:

- `layer` (string): Buildout layer slug, e.g. semiconductors (see list_layers).
- `limit` (integer): Default 20.
- `minScore` (number): Minimum AI Exposure Score.
- `query` (string): Company name or ticker.
- `tier` (string): Exposure tier: Pure Play, Core, Strategic, Growing, Peripheral.

### `list_layers` (~49 tokens)

List buildout 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` (~55 tokens)

Get a layer

One buildout layer with stats and its member stocks, largest market cap first.

Input parameters:

- `limit` (integer): Members to return, largest market cap first. Default 25.
- `slug` (string, required): Layer slug from list_layers.

### `get_fear_greed` (~85 tokens)

AI Fear & Greed Index

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.

Input parameters:

- `historyDays` (integer): Also return the index score series for this many calendar days.
- `layer` (string): Layer slug for a per-layer reading; omit for the whole index.

### `get_buildout` (~92 tokens)

AI buildout tracker

Sourced AI buildout data: hyperscaler capex, data center projects, power deals, or headline stats. Filter by ticker.

Input parameters:

- `limit` (integer): Default 50.
- `section` (string, required): stats: headline totals; capex: hyperscaler capex; projects: data center projects; power_deals: power purchase deals.
- `ticker` (string): Only rows linked to this ticker.

### `list_agents` (~28 tokens)

List AI agents

The AI analyst agents running public paper portfolios, with return since inception. Simulated, not recommendations.

### `get_agent_positions` (~57 tokens)

Agent positions

One AI agent's paper portfolio: holdings, cash, pending orders, and performance vs benchmarks. Simulated, not recommendations.

Input parameters:

- `agent` (string, required): Agent slug: capex-hawk, druck or reader (see list_agents).

### `get_agent_activity` (~89 tokens)

Agent activity

One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.

Input parameters:

- `agent` (string, required): Agent slug (see list_agents).
- `kind` (string, required): trades: trade log; notes: daily notes; memos: research memos.
- `limit` (integer): Default 20 (5 for memos).

### `get_investor` (~55 tokens)

13F investor

A famous investor's AI-stock holdings from their latest 13F filing, or the list of tracked investors when slug is omitted.

Input parameters:

- `slug` (string): Investor slug; omit to list every tracked 13F investor.

### `get_congress_trades` (~50 tokens)

Congress AI trades

Disclosed AI-stock trades from the Pelosi tracker (STOCK Act reports), each linked to its filing.

Input parameters:

- `limit` (integer): Most recent AI-stock trades to return. Default 25.

### `get_methodology` (~35 tokens)

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` (~44 tokens)

The Supercycle Desk

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` (~64 tokens)

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.

Input parameters:

- `limit` (integer): Default 20 per status.
- `status` (string): Default all.

### `search` (~52 tokens)

Search Supercycle

Search supercyclehq.com for stocks, layers, trackers, agents and investors. Returns ids to pass to fetch.

Input parameters:

- `query` (string, required): What to look for: a company, ticker, layer, tracker or agent.

### `fetch` (~49 tokens)

Fetch a Supercycle page

Full Markdown of a supercyclehq.com page by id from search, with its as-of date.

Input parameters:

- `id` (string, required): An id from search results (a site path such as /stock/nvidia).

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq#diagnostics

## Score history

- 2026-11-06: 73
- 2026-11-05: 72
- 2026-11-04: 72
- 2026-11-03: 71
- 2026-11-02: 71
- 2026-11-01: 70
- 2026-10-31: 70
- 2026-10-30: 69
- 2026-10-29: 69
- 2026-10-28: 69
- 2026-10-27: 68
- 2026-10-26: 68
- 2026-10-25: 67
- 2026-10-24: 67
- 2026-10-23: 66

## Common questions

### What is the Supercycle MCP server?

Supercycle is an MCP server listed in the public MCP registry as com.supercyclehq/supercycle. AI buildout stocks: AI Exposure Scores, Fear & Greed, capex, AI agents' paper portfolios. This page covers its hosted endpoint (https://supercyclehq.com/mcp).

### Is the Supercycle MCP server safe to use?

Supercycle scores 73 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Supercycle MCP server expose?

Supercycle exposes 16 tools: get_ticker, search_stocks, list_layers, get_layer, get_fear_greed, and 11 more. Their descriptions and schemas cost roughly 1,017 tokens of context every time the server is loaded.

### Does the Supercycle MCP server require authentication?

No. We connected to Supercycle without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Supercycle MCP server still maintained?

Supercycle is still listed as active in the MCP registry. We last reached this channel on 6 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What did VerifyMCP test on the Supercycle MCP server?

VerifyMCP ran 13 checks on Supercycle, covering TLS certificate, Authorization, HTTPS, HSTS header and 9 more. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- Remote endpoint: https://supercyclehq.com/mcp
- Website: https://supercyclehq.com/for-agents
- Changelog RSS feed: https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq.json
- HTML version of this page: https://verifymcp.io/servers/com-supercyclehq-supercycle/supercyclehq