# Rayana Ai MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.rayana%2Frayana-ai
Registry id: `mcp-registry/ai.rayana/rayana-ai`
Status: live (checked 2026-10-27T02:59:24.293Z)

## Measurements (30 days)

- Uptime: 99.48%
- Checks: 4481
- Outages (90 days): 11

## Install

```json
{
  "mcpServers": {
    "rayana-ai-mcp-server": {
      "type": "http",
      "url": "https://mcp.rayana.ai/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http rayana-ai-mcp-server https://mcp.rayana.ai/mcp
```

## Tools (20)

- `rayana_ai_analyst_brief`: The portfolio-analyst brief with its per-ticker views — the broadcast opinion layer, identical for every caller.
- `rayana_ai_articles`: The public articles feed, newest first, when `slug` is omitted; one published article's full body when `slug` is given.
- `rayana_ai_complete_setup`: For clients that connect with an API key rather than OAuth: exchanges a pairing code from the user's account page for an API key. Destructive: it issues a new k
- `rayana_ai_consensus`: Per-source consensus snapshots (insider trades, congressional trades, earnings beats, dated catalysts, on-chain flows, 13F filings, AI news-beneficiary reads). 
- `rayana_ai_lanes`: Which lanes (daily/turtle/mr) currently have a batch available.
- `rayana_ai_market_brief`: The daily market brief: a generic engine-wide read with no recommendations, descriptive only. Latest by default; pass `date` (YYYY-MM-DD) for a specific day.
- `rayana_ai_plans`: Rayana AI's subscription tiers: price, rate limits, and what each tier includes. Works without signing in or an API key. The research tools on this server requi
- `rayana_ai_portfolio`: One model portfolio's full detail: holdings, overlay legs, event feed, NAV series, and windowed returns. Returns an error if the book's tier (e.g. an Elite-only
- `rayana_ai_portfolios`: The full shelf of Rayana AI's broadcast model portfolios as merchandising cards, with each card's tier/openable/delayed flags.
- `rayana_ai_rankings`: Latest ranked candidate batch for a lane: daily (the main research lane), turtle (breakout system), or mr (mean-reversion). Rows come back in rank order, best f
- `rayana_ai_rotation`: Cluster-rotation layer. `summary`: latest per-cluster RRG quadrant/rank rows with deltas, plus the most recent quadrant-crossing events (`days` controls the win
- `rayana_ai_search`: Resolve free text (ticker or company name) to known Rayana AI symbols, best match first. Pure resolution — never accrues signal.
- `rayana_ai_signals`: Latest aggregator-consensus batch for one asset lane: which tickers cleared the signal pipeline, blended agg_score, confirming source count.
- `rayana_ai_start_checkout`: Returns a subscription link for a tier, which the user opens in a browser. Works without signing in or an API key. The tool itself takes no payment: the user si
- `rayana_ai_ticker`: Full per-ticker research view: score, lane membership, per-source signals, virality, consensus, cluster-rotation position, forward returns.
- `rayana_ai_ticker_analyst`: Today's cached AI ticker-analyst read (lean, conviction, thesis, evidence for/against, invalidation condition). Never triggers a new model call; 404s if nothing
- `rayana_ai_ticker_articles`: One ticker's published article history, newest first.
- `rayana_ai_ticker_price`: Daily close-price history for one ticker over the given period. Long periods are evenly sampled down to `max_points` bars rather than cut short, so the series s
- `rayana_ai_trends`: The attention leaderboard: latest virality snapshot ranked by VScore, with the full intensity/breadth/slope/vramp decomposition.
- `rayana_ai_trends_detail`: The attention layer's raw texture. `sources`: per-source reach today. `heat`: per-(ticker, source) attention contributions. `search`: rising/breakout consumer s

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.