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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Rivalize

de Downshiftversión 0.3.2i★ –iSe ejecuta en tu computadora
Nombre en el registroai.rivalize/rivalize-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

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

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Marketing y redes sociales
  • Debes completar: RIVALIZE_API_KEY

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: RIVALIZE_API_KEY, RIVALIZE_API_URL, RIVALIZE_MCP_ALLOW_WRITES

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • npmNode.js instalado (para el comando npx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en 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"
      }
    }
  }
}

Ejecuta esto en tu 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

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.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"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "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"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • RIVALIZE_API_KEY secreto obligatorio 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.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio rivalize.ai (el registro comprueba quién es dueño del dominio)

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Marketing y redes socialesi

  • Más estrellas que el 0% de los otros 2957 servidores de esta categoría
  • Publicado en el registro más recientemente que el 52% de los otros 2957 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 2957 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Rivalize?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

Debes completar: RIVALIZE_API_KEY

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.3.2) llegó al registro hace 27 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

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README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

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

Solo se muestra el principio; lee el resto en el repo

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