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, you can:- Query your GEO performance — “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”
Supported Clients
Qwairy’s MCP server works with any client that supports the Model Context Protocol:Claude Desktop / Claude.ai
Via Connectors settings
ChatGPT
Via Connectors (Pro/Team/Enterprise)
Cursor
Built-in MCP support
Claude Code
One-command CLI setup
VS Code / Copilot
Via MCP extension
Windsurf
Built-in MCP support
Any MCP-compatible client can connect using the server URL
https://mcp.qwairy.co. See Getting Started for setup instructions.Quick Example
Once connected, you can have conversations like:You: What’s my brand’s GEO score this month? AI Assistant: 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 41 tools across 10 categories:| Category | Tools | Description |
|---|---|---|
| Discovery | list_brands, get_overview | List brands, get cockpit overview with scores and trends |
| Performance | get_brand_performance, get_visibility_trend, get_sentiment_trend, get_provider_breakdown, get_keyword_triggers, get_topics | GEO scores, trends, provider and keyword analysis |
| Competitors | get_competitors, get_competitor_evolution, get_competitor_comparison, get_competitor_position | Rankings, trends, head-to-head, deep-dive |
| Prompts & Responses | get_prompts, get_prompt_answers, get_answers, get_answer_details, get_prompt_signals | Browse prompts, AI responses, attack/defend signals |
| Sources | get_source_domains, get_source_urls, get_source_profile, get_backlink_opportunities | Cited domains, URLs, source deep-dive, backlink outreach |
| Strategic | get_content_opportunities, get_brand_perception, get_perception_history, get_technical_status, get_site_diagnostics, get_actions | Perception SWOT, technical SEO, per-page diagnostics, Action Center |
| Vertical Insights | get_shopping_insights, get_social_insights, get_local_insights, get_query_fan_out, get_sponsored_content | Shopping, social, local, web search queries, sponsored content |
| Measure | get_search_console_metrics, get_bing_metrics, get_referrer_analytics, get_ai_revenue, get_crawler_activity, get_page_performance | Search Console, Bing, AI traffic and revenue, crawler activity |
| Deep-Dive | get_page_presence, get_matrix | On-page presence, visibility matrix |
| Documentation | search_documentation | Search Qwairy product docs, guides, and GEO strategies |
The Measure tools require the
read:measure scope and a connected integration (Google Search Console, Bing, or Google Analytics). See Measure Tools.Requirements
- Qwairy Starter plan or higher
- Any MCP-compatible AI client (Claude, Cursor, VS Code, Windsurf…)
- Active monitored brands with GEO data
Next Steps
Getting Started
Set up the MCP connection in 2 minutes
OAuth Setup
How authentication works
Discovery Tools
List your monitored brands
Performance Tools
GEO scores and topic metrics
Competitor Tools
Analyze competitive landscape
Response Tools
Browse prompts and AI responses
Source Tools
Track cited domains and URLs
Strategic Tools
Actions, perception, technical status
Insight Tools
Shopping, social, local, queries
Measure Tools
Search Console, AI traffic, revenue, crawlers
Deep-Dive Tools
Page presence, matrix, profiles
Documentation Tool
Search product docs and GEO guides
Examples
Real conversation examples