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

Meça sua visibilidade em IA antes de tentar melhorá-la.

O mcp-geo gera perguntas reais, consulta vários mecanismos e registra as citações da sua marca e dos concorrentes. Uma forma transparente de entender SEO para ChatGPT e outros buscadores generativos.

Ver mcp-geo no GitHub Ver o guia de instalação Voltar ao DigestSEO
Worker / local tools
6 / 9
AI engines
5
Setup time
~5 min
License
MIT
mcp-geo: acompanhamento de citações e visibilidade da marca em mecanismos de IA
O mcp-geo reúne citações, métricas de visibilidade e acompanhamento de desempenho em um único fluxo.

Sobre o produto

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.

O que ele produz

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

Perguntas da sua categoria: Defina sua marca, categoria e concorrentes para gerar perguntas que seus clientes fariam a um assistente.

02get_visibility_history

Citações por mecanismo: Compare menções e fontes no ChatGPT, Claude, Perplexity, Gemini e Google AI Overviews.

03compare_competitors

Dados sob seu controle: Hospede o MCP no Cloudflare Workers e configure apenas as chaves dos mecanismos que realmente usar.

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.

Mecanismos

Mecanismos

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

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

Configuração

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.

Executar localmente

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

Conectar o 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

Implantação

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 no GitHub →

Workspace do DigestSEO

Guarde suas auditorias em um só lugar.

Crie uma conta grátis para testar o workspace do DigestSEO e salvar projetos do Site Audit. Para acompanhar a visibilidade em IA, hospede o mcp-geo na Cloudflare.

Criar meu workspace

Star the repo. Self-host in 5 minutes.

MIT licensed. 5 AI engines. Native MCP integration.

Ver no GitHub