Rayana AI MCP MCP server

Provides programmatic access to Rayana AI's market research data, including portfolio rankings, ticker scores, market signals, and daily briefs. It allows agents to retrieve financial insights, cluster rotation trends, and analyst reads directly from the vendor's infrastructure.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Rayana AI

MCP endpoint (Streamable HTTP)

https://mcp.rayana.ai/mcp

Vendor documentation

What you can do with it

Retrieve daily market rankings and signals
Access per-ticker research and analyst reads
Analyze cluster rotation and trends
Fetch daily market briefs and portfolio details

Tools advertised by the last live check:

rayana_ai_rankings
rayana_ai_lanes
rayana_ai_signals
rayana_ai_consensus
rayana_ai_ticker
rayana_ai_ticker_price
rayana_ai_ticker_analyst
rayana_ai_ticker_articles
rayana_ai_rotation
rayana_ai_trends
rayana_ai_trends_detail
rayana_ai_market_brief
rayana_ai_analyst_brief
rayana_ai_portfolios
rayana_ai_portfolio
rayana_ai_search
rayana_ai_articles
rayana_ai_plans
rayana_ai_start_checkout
rayana_ai_complete_setup

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

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

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add rayana-ai-mcp --url https://mcp.rayana.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable rayana-ai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "rayana-ai-mcp": {
      "url": "https://mcp.rayana.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "rayana-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.rayana.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start rayana-ai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "rayana-ai-mcp": {
      "type": "http",
      "url": "https://mcp.rayana.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http rayana-ai-mcp https://mcp.rayana.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "rayana-ai-mcp": {
      "url": "https://mcp.rayana.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "rayana-ai-mcp": {
      "serverUrl": "https://mcp.rayana.ai/mcp"
    }
  }
}

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