Query your brand's AI visibility data directly from Claude Desktop, Cursor IDE, Windsurf, or any MCP-compatible client. No dashboard switching — analytics where you already work.
Get Started Free →The Model Context Protocol (MCP) is an open standard created by Anthropic that provides a universal way for AI applications to connect with external data sources and tools. Think of it as a USB-C port for AI — one standardized interface that works everywhere.
Instead of building custom integrations for every AI tool, MCP lets any compatible client connect to any compatible server. Claude Desktop, Cursor IDE, Windsurf, and dozens of other AI tools already support MCP.
AuraCite's MCP server means you can access GEO analytics data from the tools you already use — your IDE, your AI chat, your automation pipelines — without context-switching to a separate dashboard.
Any MCP-compatible client can connect to AuraCite's data.
From zero to querying AI visibility data in under five minutes.
Sign up for AuraCite (free tier available) and navigate to Settings → API Keys in your dashboard. Click Generate New Key and copy the key to your clipboard.
Your API key authenticates your MCP client with AuraCite and scopes data access to your projects and brands.
Open your MCP client's configuration file. For Claude Desktop, this is typically claude_desktop_config.json. For Cursor, it's .cursor/mcp.json in your project.
Add the AuraCite MCP server entry:
Replace YOUR_API_KEY with the key you generated in Step 1.
Restart your MCP client to load the new configuration. You can now ask natural language questions about your brand's AI visibility directly from your editor or chat interface.
Real workflows powered by natural language data access.
Get instant visibility scores, mention counts, and citation trends without leaving your coding environment. Monitor changes as they happen — during a product launch, after a PR push, or following a content update.
Integrate AuraCite data into your continuous deployment workflow. Automatically track how code changes, content updates, or new releases affect how AI engines perceive and recommend your brand. Set up alerts when visibility scores drop below a threshold.
Build custom AI agent workflows that pull competitive intelligence on demand. Combine AuraCite's MCP data with other tools to create comprehensive market analysis pipelines — all orchestrated through natural language.
Access your full GEO analytics stack through natural language.
Retrieve brand profiles, configuration, and project-level metadata for all tracked brands.
Query AI engine mentions across ChatGPT, Perplexity, Gemini, Claude, and more. Filter by date, engine, and sentiment.
Analyze which sources AI engines cite when mentioning your brand. Track citation frequency and source authority.
See which user prompts trigger brand mentions and how your positioning changes across different query types.
Access visibility scores, trend data, and cross-engine performance summaries over configurable time ranges.
Compare your brand's AI visibility against competitors with side-by-side metrics and ranking data.
Traditional analytics tools trap data behind dashboards. You log in, click through tabs, export CSVs, and paste data into your actual workspace. MCP fundamentally changes this by bringing analytics data to where you already work.
For GEO practitioners, this means checking AI visibility performance while you write content, monitoring brand mentions while you build features, and running competitive analysis without leaving your IDE. The data comes to you — not the other way around.
AuraCite is the only GEO platform with native MCP support. While other tools are still dashboard-only, AuraCite gives you the flexibility to access your AI visibility data from any MCP-compatible environment.
Free tier includes MCP access. Set up in under five minutes — no credit card required.
Get Started Free →