Documentation/MCP Server

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

Essential

Trigger 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 MCP

Try 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!

Start Free Scan