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The Qwairy MCP Server enables AI assistants like Claude to directly access your GEO monitoring data. Ask questions about your brand’s AI visibility in natural language and get instant insights.

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI assistants to securely connect to external data sources. With Qwairy’s MCP server, Claude can:
  • Query your GEO performance — Ask “How is my brand performing across AI providers?”
  • Analyze competitors — “Who are my top competitors in AI responses?”
  • Track sources — “Which domains cite my brand most often?”
  • Monitor prompts — “Show me recent AI responses for my monitored queries”

Quick Example

Once connected, you can have conversations like:
You: What’s my brand’s GEO score this month? Claude: Your brand “Acme Corp” has a GEO score of 72/100. Here’s the breakdown:
  • Mention Rate: 45% (brand mentioned in 45% of AI responses)
  • Source Rate: 28% (your domain cited in 28% of responses)
  • Share of Voice: 38% (vs competitors)
  • Sentiment: 78/100

Available Tools

The MCP server provides 11 tools for querying your data:
ToolDescription
list_brandsList all your monitored brands
get_brand_performanceGet GEO score and key metrics
get_competitorsView competitors mentioned in AI responses
get_competitor_evolutionTrack competitor trends over time
get_promptsList monitored prompts/queries
get_prompt_answersGet AI responses for a specific prompt
get_answersBrowse all AI responses with filters
get_answer_detailsGet full details of a response
get_source_domainsSee which domains AI cites
get_source_urlsGet specific cited URLs
get_topicsPerformance breakdown by topic

Requirements

  • Qwairy Business plan or higher
  • Claude Desktop or any MCP-compatible client
  • Active monitored brands with GEO data

Next Steps