原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Rayana AI

作者:rayana.ai版本 1.5.0i★ –i在云端运行
注册名称ai.rayana/rayana-ai

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:X-API-Key

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http rayana-ai https://mcp.rayana.ai/mcp --header 'X-API-Key: your-value'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "rayana-ai": {
      "url": "https://mcp.rayana.ai/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "rayana-ai": {
      "type": "http",
      "url": "https://mcp.rayana.ai/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • X-API-Key 机密 HTTP header
    Your Rayana AI API key (Pro tier or above), from rayana.ai/account. Leave blank to see plans and subscribe first.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • 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 default page is the top of the batch. `total` in the response is the batch size; when it exceeds `count`, l

  • rayana_ai_lanes

    Which lanes (daily/turtle/mr) currently have a batch available.

  • 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_consensus

    Per-source consensus snapshots (insider trades, congressional trades, earnings beats, dated catalysts, on-chain flows, 13F filings, AI news-beneficiary reads). Omit `source` for every source at once, or pass one of the slugs returned in a rankings/signals row's source list. `limi

  • rayana_ai_ticker

    Full per-ticker research view: score, lane membership, per-source signals, virality, consensus, cluster-rotation position, forward returns.

  • 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 spans the whole period — `5Y` and `MAX` return the shape of the history, not its last year. `last_close`, `change_p

  • rayana_ai_ticker_analyst

    The ticker's current AI analyst read (lean, conviction, thesis, six fixed sections, evidence for/against, invalidation condition). Never triggers a new model call; 404s when the ticker has no current read. Counts one read against the subscription's monthly allowance, once per tic

  • rayana_ai_analyst_read

    Open a ticker's AI analyst read: the current one, or a new one generated on the spot when the ticker has none (this can take about half a minute). Each ticker opened counts one read against the subscription's monthly allowance, once per day; re-opening it the same day is free. `q

  • rayana_ai_analyst_followup

    Answer one preset follow-up question about a ticker's current AI analyst read: trend (is the trend intact), break (what would break the thesis), macro (exposure to macro and rates), smart_money (insiders and smart money), earnings (the earnings setup), changed (what changed since

  • rayana_ai_ticker_articles

    One ticker's published article history, newest first.

  • 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 are computed over). `laggards`: members trailing a firing cluster's leader. `discovered`: unsupervised cluster-

  • 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 search queries. `video`: rising video-view velocity. `limit` applies to search/video only; omit it to use that view's own

  • 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_macro

    The economy behind the market, descriptive only. `cycle`: the business-cycle phase (expansion / slowdown / contraction / recovery), the composite and its components, plus recent month-ends. `earnings`: S&P 500 (`index="spx"`) or Nasdaq-100 profit growth by quarter (sum and median

  • rayana_ai_analyst_brief

    The portfolio-analyst brief with its per-ticker views — the broadcast opinion layer, identical for every caller.

  • 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_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 book) is above the caller's own subscription tier.

  • 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_articles

    The public articles feed, newest first, when `slug` is omitted; one published article's full body when `slug` is given.

  • 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 require the Pro tier or higher. Prices are USD; annual billing is ten months' price for twelve. `rayana_ai_start_checkout` re

  • 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 signs in, accepts the Terms of Service and pays on Stripe's hosted checkout page. Standard does not include access to this

  • 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 key and immediately revokes the account's previous one, so any other client still using the old key stops working. OAuth

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ! 注意

    作者与仓库一致

    注册中心没有列出源代码仓库,因此无法将发布者(rayana.ai)与代码对应起来

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 376 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 23 个工具描述,未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7264 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7264 个服务器的 99% 更新
  • 基础检查结果等于或优于此分类中其他 7264 个服务器的 40%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Rayana AI 安全吗?

它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:X-API-Key

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.5.0)于今天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

仓库中没有找到 README

问 PopNx