MCP Server Integration
Integrate TagAssistant.ai with AI agents using the Model Context Protocol. Perfect for Claude Desktop, custom agents, and AI-powered workflows.
MCP Documentation Coming Soon
We're building comprehensive MCP integration documentation. The TagAssistant.ai MCP server will enable:
- Natural language website scanning through AI agents
- Integration with Claude Desktop and other MCP-compatible tools
- Automated tag management workflows powered by AI
- Conversational interface for tracking analysis and recommendations
What is the Model Context Protocol?
The Model Context Protocol (MCP) is an open protocol that enables AI applications to securely access external context and tools. It's designed by Anthropic to make AI assistants more powerful and useful by connecting them to your data and services.
MCP servers act as bridges between AI models (like Claude) and external systems (like TagAssistant.ai). This means you can:
- Ask Claude to scan a website and analyze its tracking setup
- Build custom AI workflows that include tag analysis steps
- Get AI-powered recommendations through conversational interfaces
Planned MCP Tools
scan_website
EssentialTrigger a comprehensive website scan to detect tracking scripts, analyze setup, and get AI recommendations.
Example Usage
// Ask Claude: "Scan example.com and tell me what tracking is set up" // Claude uses MCP to call: scan_website({ domain: "example.com", includePrivacy: true })
get_scan_results
Retrieve detailed scan results, including tracking scripts detected, website classification, and recommendations.
get_templates
Get tracking templates and recommendations for specific website types (e-commerce, blog, SaaS, etc.).
MCP Integration Use Cases
Claude Desktop Integration
Add TagAssistant.ai as a tool in Claude Desktop. Ask Claude to scan websites and get instant tracking analysis in your conversations.
Automated Workflows
Build custom AI agents that automatically scan your websites, detect changes, and alert you when tracking needs attention.
CI/CD Integration
Integrate tag scanning into your deployment pipeline. Let AI verify tracking is properly configured before going live.
Custom Chatbots
Build chatbots or Slack/Teams integrations that let your team scan websites and get tracking insights conversationally.

Want Early Access?
Your Tag Service Assistant
We're finalizing our MCP server implementation. If you're interested in using TagAssistant.ai with Claude Desktop or building custom MCP integrations, we'd love to hear from you!
Contact Us About MCPTry TagAssistant.ai Today
While we finalize MCP integration, you can start using TagAssistant.ai right now through our web interface. No signup required for your first scan!
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