Analytics
rayana.ai
Provides AI-driven stock market research, including ranked candidate batches, lane availability, aggregator-consensus signals, per-source consensus snapshots, and per-ticker analytics.
ENDPOINT 1
https://mcp.rayana.ai/mcp
MCP server metadata
- Name
- rayana-ai
- Version
- 1.0.0
Read-only access to Rayana AI's market-research engine: model-portfolio rankings, per-ticker scores, aggregator signals, cluster rotation, attention trends, daily briefs, and the broadcast model portfolios. All content is impersonal — computed once and served identically to every caller, same as the Rayana AI REST API this mirrors. Every tool requires a Pro-tier or higher API key passed as the X-API-Key header on the MCP connection.
Known tools 17
rayana_ai_rankingsLatest ranked candidate batch for a lane: daily (the main research lane), turtle (breakout system), or mr (mean-reversion).
Inferred read-onlyrayana_ai_signalsLatest aggregator-consensus batch for one asset lane: which tickers cleared the signal pipeline, blended agg_score, confirming source count.
Inferred read-onlyrayana_ai_consensusPer-source consensus snapshots (insider trades, congressional trades, earnings beats, dated catalysts, on-chain flows, 13F filings, AI news-beneficiary reads).
Inferred read-onlyrayana_ai_tickerFull per-ticker research view: score, lane membership, per-source signals, virality, consensus, cluster-rotation position, forward returns.
Inferred read-onlyrayana_ai_ticker_priceDaily close-price history for one ticker over the given period.
Inferred read-onlyrayana_ai_ticker_analystToday's cached AI ticker-analyst read (lean, conviction, thesis, evidence for/against, invalidation condition).
Inferred read-onlyrayana_ai_trendsThe attention leaderboard: latest virality snapshot ranked by VScore, with the full intensity/breadth/slope/vramp decomposition.
Inferred read-onlyrayana_ai_market_briefThe daily market brief: a generic engine-wide read with no recommendations, descriptive only.
Inferred read-onlyrayana_ai_analyst_briefThe portfolio-analyst brief with its per-ticker views — the broadcast opinion layer, identical for every caller.
Inferred read-onlyrayana_ai_portfoliosThe full shelf of Rayana AI's broadcast model portfolios as merchandising cards, with each card's tier/openable/delayed flags.
Inferred read-onlyrayana_ai_portfolioOne model portfolio's full detail: holdings, overlay legs, event feed, NAV series, and windowed returns.
Inferred read-onlyrayana_ai_searchResolve free text (ticker or company name) to known Rayana AI symbols, best match first.
Inferred read-onlyrayana_ai_articlesThe public articles feed, newest first, when ``slug`` is omitted; one published article's full body when ``slug`` is given.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.rayana-ai]
url = "https://mcp.rayana.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"rayana-ai": {
"type": "http",
"url": "https://mcp.rayana.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: rayana-ai
Remote MCP URL: https://mcp.rayana.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"rayana-ai": {
"url": "https://mcp.rayana.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"rayana-ai": {
"type": "http",
"url": "https://mcp.rayana.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "rayana-ai",
"transport": "streamable-http",
"url": "https://mcp.rayana.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.