Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,517Letters: 13Defects: 1,321counted 1 min ago
teppi

MCP serverai.rayana/rayana-ai

Read-only impersonal market research: portfolio rankings, ticker scores, signals, daily briefs.
UNRATEDActivestreamable-httpmcp.rayana.ai

Overview

Score?
UNRATED 0.523
of what a free look can see, on 18 looks
Looks
18
last 14 hr ago
Tools
20
changed 9 days ago

More info

URL
mcp.rayana.ai/mcp
streamable-http
Says it is
rayana-ai 1.1.0
protocol 2025-06-18
In the record since
16 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.523 · highest on record 0.8561

Toolsfrom sha256:ed030813b6…e0470e · +0 −0 9 days ago

The tools this server lists, read out of the definition it returned
ToolSchema
rayana_ai_analyst_brief
The portfolio-analyst brief with its per-ticker views — the broadcast opinion layer, identical for every caller.
input · output
rayana_ai_articles
The public articles feed, newest first, when ``slug`` is omitted; one published article's full body when ``slug`` is given.
input · output
rayana_ai_complete_setup
Exchange a pairing code from your principal's account page for an API key. Ask them to confirm before you call this: it issues a new key and immediately invalidates the acc
input · output
rayana_ai_consensus
Per-source consensus snapshots (insider trades, congressional trades, earnings beats, dated catalysts, on-chain flows, 13F filings, AI news-beneficiary reads). Omit ``sourc
input · output
rayana_ai_lanes
Which lanes (daily/turtle/mr) currently have a batch available.
input · output
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.
input · output
rayana_ai_plans
What Rayana AI costs and what each tier unlocks. No API key needed — call this first if a research tool refused you for want of one. API and MCP access start at the Pro ti
input · output
rayana_ai_portfolio
One model portfolio's full detail: holdings, overlay legs, event feed, NAV series, and windowed returns. Returns an error if the slug's tier (e.g. an Elite-only book) is ab
input · output
rayana_ai_portfolios
The full shelf of Rayana AI's broadcast model portfolios as merchandising cards, with each card's tier/openable/delayed flags.
input · output
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 first, so the
input · output
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 window both
input · output
rayana_ai_search
Resolve free text (ticker or company name) to known Rayana AI symbols, best match first. Pure resolution — never accrues signal.
input · output
rayana_ai_signals
Latest aggregator-consensus batch for one asset lane: which tickers cleared the signal pipeline, blended agg_score, confirming source count.
input · output
rayana_ai_start_checkout
Get a link your principal opens in a browser to subscribe. No API key needed. Give them the URL — you cannot complete this yourself, and should not try: they sign in, accep
input · output
rayana_ai_ticker
Full per-ticker research view: score, lane membership, per-source signals, virality, consensus, cluster-rotation position, forward returns.
input · output
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 was generat
input · output
rayana_ai_ticker_articles
One ticker's published article history, newest first.
input · output
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 still span
input · output
rayana_ai_trends
The attention leaderboard: latest virality snapshot ranked by VScore, with the full intensity/breadth/slope/vramp decomposition.
input · output
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 search
input · output
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