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PopNx MCPMCP servers for people who use AI · explained in plain words

Rivalize

by Downshiftversion 0.3.2i★ –iRuns on your computer
Registry nameai.rivalize/rivalize-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media
  • You need to fill in: RIVALIZE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: RIVALIZE_API_KEY, RIVALIZE_API_URL, RIVALIZE_MCP_ALLOW_WRITES

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • RIVALIZE_API_KEY secret required 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain rivalize.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2959 servers in this category
  • Published to the registry more recently than 52% of the other 2959 servers in this category
  • Basic checks equal to or better than 100% of the other 2959 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Rivalize safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: RIVALIZE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.2) reached the registry 27 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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