Marca visual de mcp-geo
GEO SEO · MCP open source

Mide tu visibilidad en IA antes de intentar mejorarla.

mcp-geo genera preguntas reales, consulta varios motores y guarda las citas de tu marca y de tus competidores. Es una forma transparente de entender el SEO para ChatGPT y otros buscadores generativos.

Ver mcp-geo en GitHub Ver la guía de instalación Volver a DigestSEO
Worker / local tools
6 / 9
AI engines
5
Setup time
~5 min
License
MIT
mcp-geo: seguimiento de citas y visibilidad de marca en motores de IA
mcp-geo reúne citas, mediciones de visibilidad y seguimiento de rendimiento en un solo flujo.

Información

What is mcp-geo?

mcp-geo is an open-source Model Context Protocol (MCP) server for tracking how your brand is cited by AI search assistants. It runs prompts against ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, then stores raw citations and computed visibility metrics so you can query them from any MCP client.

Run the npm package locally with SQLite for all nine tools, or self-host the six analysis tools on Cloudflare Workers + D1 for scheduled refreshes and remote access. You bring only the engine API keys you want to use.

Built for indie SaaS founders and small marketing teams who want to track AI visibility without paying for a bloated enterprise SEO suite. Read the full README and SETUP.md on GitHub.

Qué produce

Connect mcp-geo to Claude, ask for an AI visibility analysis, and get a strategist-quality memo grounded in per-engine data.

Features

What's inside

Six analysis tools are available on both transports. The local npm CLI also includes brand management and prompt generation tools.

01check_visibility

Prompts de tu categoría: Define tu marca, categoría y competidores para generar preguntas que tus clientes podrían hacer a un asistente.

02get_visibility_history

Citas por motor: Compara menciones y fuentes en ChatGPT, Claude, Perplexity, Gemini y Google AI Overviews.

03compare_competitors

Datos bajo tu control: Aloja el MCP en Cloudflare Workers y configura solo las claves de los motores que realmente utilices.

04get_citations

The actual citation events with prompt, engine, excerpt, type, and brand URL.

05get_content_gaps

Prioritized content recommendations targeting your losing prompts.

06refresh_brand

Manually trigger a fresh scan across every engine whose API key is set.

Motores

Motores

  • ChatGPT
  • Claude
  • Perplexity
  • Gemini
  • Google AI Overviews

Each engine is opt-in. Configure only the keys you have; the Worker skips engines without credentials.

Configuración

Run it locally or connect Claude

The local CLI keeps its SQLite data on your machine. The Worker transport supports remote MCP clients through OAuth.

Ejecutarlo localmente

claude mcp add --transport stdio digestseo -s user --env OPENAI_API_KEY=your_key_here -- npx -y digestseo-mcp

Conectar el Worker

  1. In Claude.ai, open Settings → Connectors → Add custom connector.
  2. Paste your Worker URL after deploy (ending in /mcp).
  3. Complete the OAuth handshake and ask Claude to check an AI visibility report.
claude mcp add --transport http digestseo https://YOUR-WORKER.YOUR-SUBDOMAIN.workers.dev/mcp

Despliegue

5-minute self-host on Cloudflare

~/digestseo · deploy
git clone https://github.com/AKzar1el/mcp-geo.git
cd mcp-geo
npm install
npx wrangler login
cp wrangler.example.jsonc wrangler.jsonc
npx wrangler d1 migrations apply digestseo-db --remote
npx wrangler deploy
Full setup guide (SETUP.md) →Ver mcp-geo en GitHub →

Espacio de trabajo DigestSEO

Guarda tus auditorías en un solo lugar.

Crea una cuenta gratis para probar el espacio de trabajo de DigestSEO y guardar proyectos de Site Audit. Para medir la visibilidad en IA, autoalójalo en Cloudflare.

Crear mi espacio de trabajo

Star the repo. Self-host in 5 minutes.

MIT licensed. 5 AI engines. Native MCP integration.

Ver en GitHub