Rivalize
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 281/周 · ★ –
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。
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。
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
- Your Rivalize API key (rk_live_...). Create one at rivalize.ai under Settings, API Keys. Free plans get rate-limited reads.
RIVALIZE_API_URLenvOrigin of the Rivalize API that issued your key. Leave unset for rivalize.ai.RIVALIZE_MCP_ALLOW_WRITESenvSet 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10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 3696 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3696 个服务器的 49% 更新
- 基础检查结果等于或优于此分类中其他 3696 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30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:↓ 每周下载量i★ 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
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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).
- 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.
- 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. - 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:
| Setting | Value |
|---|---|
| Command | npx |
| Arguments | -y @rivalize/mcp |
| Environment | RIVALIZE_API_KEY=rk_live_... |
| Transport | stdio |
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
| Plan | Price | Competitors | What is included for MCP and API |
|---|---|---|---|
| Agent | $70/yr or $9/mo | 3 at once, refreshed every 7 days | API 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) | 3 | Web dashboard, Monday briefing, cited change alerts, plus API, MCP and webhooks. |
| Growth | $79/mo ($790/yr) | 10 | Everything in Starter with broader coverage, plus recommended actions on material changes. |
| Pro | $199/mo ($1,990/yr) | 25 | Everything in Growth plus cited sales battlecards (get_battlecard) and 1-year change history. |
| Agency | $599/mo ($5,990/yr) | 50 | Unlimited 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.
| Tool | Access | What it does | Key arguments |
|---|---|---|---|
teardown_competitor | read | One-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 refreshed | domain (required) |
list_universe_companies | read | Search the Rivalize universe, the cross-customer dataset of tracked companies | q, category (slug), layer, limit (1-100), offset |
get_universe_company | read | Full universe profile for one company: identity, pricing, features, ads, social, reviews, funding and hiring, rankings, signals, momentum | domain (required), layers |
list_projects | read | The projects in your account; returns the project_id other tools take | none |
list_reports | read | Your reports, newest first. Reading never generates a report | project_id, limit (1-100), offset |
get_report | read | One report as Markdown, whole or one section or one competitor at a time | report_id (required), section, competitor, page |
list_competitors | read | The competitors you track, with momentum score, its threat-level band and, where the API provides it, each rival's standing on your Brief | project_id, limit (1-100), offset |
get_competitor_intelligence | read | Latest stored intelligence for one tracked competitor; a field is present only when it was measured | competitor_id (required) |
get_battlecard | read | Cited sales battlecard for one tracked competitor. Requires a Pro plan | competitor_id (required) |
get_strategic_timeline | read | Evidence-linked timeline of competitor moves across pricing, product, people, funding and content/social | project_id (required), days (30, 90, 180), competitor_id, lanes, format, page |
get_competitive_landscape | read | Current or stored weekly positions of competitors by activity and strategic importance | project_id (required), week (YYYY-MM-DD), format, page |
get_freshness | read | When each tracked competitor in a project was last actually observed, and how | project_id (required) |
get_evidence | read | The sources behind the facts for your product or one competitor: URL, what it supports, and when it was read | project_id (required), competitor_id |
add_competitor | write, opt-in | Add competitor URLs to a project. Spends credits and queues analysis | project_id (required), urls (1-10, required) |
run_report | write, opt-in | Starts 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 started | project_id (required), depth, confirm |
get_report_status | read | Whether 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 seconds | report_id (required) |
list_agent_competitors | read | Agent 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 month | none |
get_agent_competitor | read | Agent 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 analysis | competitor_id (the domain, required), group |
set_agent_competitor | write, opt-in | Agent 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 refused | url (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:
| Section | Contains |
|---|---|
tldr, biggest-threat, blind-spots, actions | The report's headline sections (actions is what your product should do) |
battlecards | The cited sales battlecards |
competitors | Every competitor's section in full |
pricing, momentum, app-store, strengths, weaknesses, key-findings, creators, ads, tech-stack | One 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 withPage N of M, how much remains, and the exact call for the next page. - Lists (`list_u
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