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

Rivalize

作者:Downshift版本 0.3.2i★ –i在你的电脑上运行
注册名称ai.rivalize/rivalize-mcp

安装

概览

作者提供的说明(英文原文)

Competitive intelligence for agents: competitor teardowns, pricing, ads, reviews and momentum.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:RIVALIZE_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: RIVALIZE_API_KEY, RIVALIZE_API_URL, RIVALIZE_MCP_ALLOW_WRITES

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

  • npm已安装 Node.js(用于 npx 命令)

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 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "rivalize": {
      "command": "npx",
      "args": [
        "-y",
        "@rivalize/mcp"
      ],
      "env": {
        "RIVALIZE_API_KEY": "your-value",
        "RIVALIZE_API_URL": "your-value",
        "RIVALIZE_MCP_ALLOW_WRITES": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add rivalize --env RIVALIZE_API_KEY=your-value --env RIVALIZE_API_URL=your-value --env RIVALIZE_MCP_ALLOW_WRITES=your-value -- npx -y @rivalize/mcp

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": {
    "rivalize": {
      "command": "npx",
      "args": [
        "-y",
        "@rivalize/mcp"
      ],
      "env": {
        "RIVALIZE_API_KEY": "your-value",
        "RIVALIZE_API_URL": "your-value",
        "RIVALIZE_MCP_ALLOW_WRITES": "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": {
    "rivalize": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@rivalize/mcp"
      ],
      "env": {
        "RIVALIZE_API_KEY": "your-value",
        "RIVALIZE_API_URL": "your-value",
        "RIVALIZE_MCP_ALLOW_WRITES": "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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • RIVALIZE_API_KEY 机密 必填 env
    Your Rivalize API key (rk_live_...). Create one at rivalize.ai under Settings, API Keys. Free plans get rate-limited reads.
  • RIVALIZE_API_URL env
    Origin of the Rivalize API that issued your key. Leave unset for rivalize.ai.
  • RIVALIZE_MCP_ALLOW_WRITES env
    Set to 1, true or yes to register add_competitor, which spends credits. Read-only when unset.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 rivalize.ai 验证(注册中心会核实域名所有权)

  • … 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2958 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2958 个服务器的 52% 更新
  • 基础检查结果等于或优于此分类中其他 2958 个服务器的 100%

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

Rivalize 安全吗?

它在 1 项适用的基础检查中通过了 1 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:RIVALIZE_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.3.2)于27天前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT9天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT9天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Rivalize MCP Server (@rivalize/mcp)

Give Claude, Cursor, Cline, or your own agent cited competitor intelligence as JSON, over the Model Context Protocol.

The Agent plan ($70 a year or $9 a month): API and MCP only, for your own AI. Rivalize collects; your own Claude, Cursor or agent does the thinking. No dashboard and no AI analysis, so it costs a few dollars.

  • 3 competitors at once, refreshed every 7 days
  • Everything Rivalize collects about each, as JSON, with sources and collection dates
  • Reads Rivalize's database of companies already collected (list_universe_companies, get_universe_company)
  • 500 API and MCP calls a day (up to 250 an hour)

Get the Agent plan at rivalize.ai/pricing. Developer and API documentation: rivalize.ai/developers.

What it does

This server connects Claude, Cursor or any other MCP client to Rivalize. Your assistant can tear down a competitor's positioning, pricing, ads, social presence, reviews, hiring and momentum in one call, search the Rivalize universe of tracked companies, and read the projects, reports, battlecards, timelines and evidence in your own Rivalize account. Every answer comes from data Rivalize has collected, with dates and sources, rather than from a model's memory.

The server is read-only by default. Three write tools, add_competitor, run_report and set_agent_competitor, are available when you opt in with RIVALIZE_MCP_ALLOW_WRITES=1. run_report starts a real report that uses your credits, so it asks you to preview first and confirm.

Quick start

Requires Node.js 22 or newer (node --version).

  1. Choose a plan at rivalize.ai/pricing: the Agent plan ($70 a year or $9 a month) is built for API and MCP use. A 14-day Growth trial is arranged with the Rivalize team; see the pricing page.
  2. Create an API key under Settings → API Keys in the Rivalize app. Keys start with rk_live_. A key from any plan works, including the free plan, which gets rate-limited reads.
  3. Add the server to your client using one of the blocks below.
Claude Desktop

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

{

"mcpServers": { "rivalize": { "command": "npx", "args": ["-y", "@rivalize/mcp"], "env": { "RIVALIZE_API_KEY": "rk_live_..." } } } }

Claude Code
claude mcp add rivalize -e RIVALIZE_API_KEY=rk_live_... -- npx -y @rivalize/mcp
Cursor

Add to .cursor/mcp.json in your project, or ~/.cursor/mcp.json for all projects:

{

"mcpServers": { "rivalize": { "command": "npx", "args": ["-y", "@rivalize/mcp"], "env": { "RIVALIZE_API_KEY": "rk_live_..." } } } }

Cline

In Cline, open the MCP Servers panel, choose Configure, then Configure MCP Servers. This opens cline_mcp_settings.json. Add:

{

"mcpServers": { "rivalize": { "command": "npx", "args": ["-y", "@rivalize/mcp"], "env": { "RIVALIZE_API_KEY": "rk_live_..." } } } }

Save the file. The rivalize server appears with a green dot after about 10 to 15 seconds (the first start downloads the package). On Windows, if it does not start, use "command": "cmd" and "args": ["/c", "npx", "-y", "@rivalize/mcp"].

If you ask Cline to install it for you, point it at llms-install.md.

Any MCP client (stdio)

The server speaks MCP over stdin and stdout. Configure your client to launch:

SettingValue
Commandnpx
Arguments-y @rivalize/mcp
EnvironmentRIVALIZE_API_KEY=rk_live_...
Transportstdio

On Windows, some clients cannot launch npx directly because it is npx.cmd. Use cmd as the command and /c npx -y @rivalize/mcp as the arguments instead.

Plans and limits

PlanPriceCompetitorsWhat is included for MCP and API
Agent$70/yr or $9/mo3 at once, refreshed every 7 daysAPI and MCP only, for your own AI. Everything Rivalize collects about each competitor as JSON, access to Rivalize's database of companies already collected, and 500 API and MCP calls a day (250 an hour). One competitor change per slot per calendar month. No dashboard and no AI analysis.
Starter$19/mo ($190/yr)3Web dashboard, Monday briefing, cited change alerts, plus API, MCP and webhooks.
Growth$79/mo ($790/yr)10Everything in Starter with broader coverage, plus recommended actions on material changes.
Pro$199/mo ($1,990/yr)25Everything in Growth plus cited sales battlecards (get_battlecard) and 1-year change history.
Agency$599/mo ($5,990/yr)50Unlimited client workspaces, dashboard, battlecards, webhooks, plus API and MCP.

Prices and limits are always current at rivalize.ai/pricing.

Tools

Sixteen read-only tools are always available: fourteen for dashboard plans and two for Agent plans. The three write tools (add_competitor, run_report and set_agent_competitor) are registered only when RIVALIZE_MCP_ALLOW_WRITES is set to 1, true or yes; without it, they do not exist for the client.

ToolAccessWhat it doesKey arguments
teardown_competitorreadOne-call strategy teardown of a competitor as Markdown: positioning, pricing, ads, social, reviews, hiring, momentum and weaknesses to attack, with when the data was last refresheddomain (required)
list_universe_companiesreadSearch the Rivalize universe, the cross-customer dataset of tracked companiesq, category (slug), layer, limit (1-100), offset
get_universe_companyreadFull universe profile for one company: identity, pricing, features, ads, social, reviews, funding and hiring, rankings, signals, momentumdomain (required), layers
list_projectsreadThe projects in your account; returns the project_id other tools takenone
list_reportsreadYour reports, newest first. Reading never generates a reportproject_id, limit (1-100), offset
get_reportreadOne report as Markdown, whole or one section or one competitor at a timereport_id (required), section, competitor, page
list_competitorsreadThe competitors you track, with momentum score, its threat-level band and, where the API provides it, each rival's standing on your Briefproject_id, limit (1-100), offset
get_competitor_intelligencereadLatest stored intelligence for one tracked competitor; a field is present only when it was measuredcompetitor_id (required)
get_battlecardreadCited sales battlecard for one tracked competitor. Requires a Pro plancompetitor_id (required)
get_strategic_timelinereadEvidence-linked timeline of competitor moves across pricing, product, people, funding and content/socialproject_id (required), days (30, 90, 180), competitor_id, lanes, format, page
get_competitive_landscapereadCurrent or stored weekly positions of competitors by activity and strategic importanceproject_id (required), week (YYYY-MM-DD), format, page
get_freshnessreadWhen each tracked competitor in a project was last actually observed, and howproject_id (required)
get_evidencereadThe sources behind the facts for your product or one competitor: URL, what it supports, and when it was readproject_id (required), competitor_id
add_competitorwrite, opt-inAdd competitor URLs to a project. Spends credits and queues analysisproject_id (required), urls (1-10, required)
run_reportwrite, opt-inStarts a real report that uses your credits (paid dashboard plans; about 10 to 20 minutes). Two steps: without confirm it starts nothing and returns a preview (depth, the project's competitors, the credits it will use, credits and monthly reports left, expected time). With confirm: true it starts the run. depth is full (15 credits per 5 competitors, uses a monthly report) or quick (1 credit per competitor). At most 3 runs a day through the API or MCP per account, and the same request within 10 minutes returns the run already startedproject_id (required), depth, confirm
get_report_statusreadWhether a report started with run_report has finished (processing, completed, no_competitors, no_rivals), and the next call. Poll no more often than every 30 secondsreport_id (required)
list_agent_competitorsreadAgent plans. The 3 tracked-competitor slots: who is tracked, when each was last collected, when it refreshes next (every 7 days), and how many slot changes are left this calendar monthnone
get_agent_competitorreadAgent plans. The raw data collected about one tracked competitor, by group (core, ads_seo, extended), each module with its source and collected_at. A group your plan does not include is listed under not_in_plan. Your own assistant does the analysiscompetitor_id (the domain, required), group
set_agent_competitorwrite, opt-inAgent plans. Put a competitor in a slot, or replace the one in a slot (slot 0-2). Uses no credits and queues a collection. Each slot can be replaced once per calendar month (the refusal gives the reset date); a fourth competitor at once is refusedurl (required), name, slot

Agent plans cannot run work that needs a model (battlecards, teardown prose, reports): the API refuses those calls with an agent_* code and the tool shows you the API's sentence unchanged. run_report and the dashboard reads are for dashboard plans; the Free and Agent plans are refused by the API with PLAN_REQUIRED or agent_model_work_not_in_plan.

project_id and competitor_id are UUIDs from list_projects and list_competitors. Tools that read your account only ever see your own data.

Report sections

get_report takes a section so your assistant can read the part a question needs instead of the whole report:

SectionContains
tldr, biggest-threat, blind-spots, actionsThe report's headline sections (actions is what your product should do)
battlecardsThe cited sales battlecards
competitorsEvery competitor's section in full
pricing, momentum, app-store, strengths, weaknesses, key-findings, creators, ads, tech-stackOne topic gathered from every competitor's section

A report has only the sections it has data for; asking for any other name returns an error that lists the sections it does have. section combines with competitor, so section: "pricing" with competitor: "Acme" returns Acme's pricing. A figure the report's fabrication check could not match to a source is kept and marked (not confirmed in the pages read); a name or citation the check found to belong to another entity is taken out with its sentence, exactly as in the report.

Long responses

Every response stays under 25,000 characters, and nothing is cut silently:

  • Markdown (get_report, get_strategic_timeline, get_competitive_landscape) is split into pages at section boundaries. Each page starts with Page N of M, how much remains, and the exact call for the next page.
  • Lists (`list_u

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