AI agents don't use browsers. They call APIs, chain tools, and coordinate with other agents. Traditional analytics is blind to this new traffic. SprTags gives you the tools to track it.
MCP Protocol
The Problem
By 2026, 40% of enterprise apps feature AI agents. These agents don't click buttons or load pages — they call APIs, use MCP tools, and delegate tasks to other agents via A2A. Your current analytics sees none of this.
Protocol
The Model Context Protocol is an open standard that connects AI agents to tools, APIs, and data sources. Think of it as the USB-C for AI — one universal connector for any agent to use any tool.
Agents call MCP tools like track_event and track_conversion to fire analytics events natively — no browser required.
Agents can read your analytics data through MCP resources — ask questions like "what's my conversion rate?" and get structured answers.
Each container gets its own MCP API key with scoped permissions. You control exactly which tools agents can access and at what rate.
How It Works
Your SGTM container becomes the analytics hub for both humans and agents.
Any AI agent (Claude, GPT, custom agents) connects to your container's MCP endpoint. No SDK integration needed — MCP is a universal protocol.
{
"server": "mcp://your-container.sprtags.io",
"tools": ["track_event", "track_conversion"],
"auth": "Bearer sk-agt-xxxx"
}
Instead of dataLayer.push(), agents call MCP tools directly. Each call carries a trace ID linking back to the full agent reasoning chain.
// Agent calls your MCP tool
track_event({
event: "purchase",
value: 99.00,
agent_id: "shopping-assistant",
trace_id: "abc-123-def"
})Your existing server-side container processes agent events exactly like human events. Forward to GA4, Meta CAPI, TikTok — or keep as first-party data.
Agent Event
├─→ GA4 (Measurement Protocol)
├─→ Meta Conversions API
├─→ Your Data Warehouse
└─→ OpenTelemetry ExportAgent-to-Agent Flow
A2A Protocol
Google's Agent-to-Agent (A2A) protocol lets agents delegate tasks to each other. Each handoff creates a measurable touchpoint. With SprTags, every A2A task in the chain is tracked — giving you full attribution across multi-agent workflows.
Use Cases
When an AI agent compares prices, adds to cart, and completes a purchase, every step is a trackable MCP tool call. Know exactly which agent drove each conversion and optimize your funnel for agent traffic.
Support agents handle tickets, look up orders, process refunds, and escalate issues. Each action is a measurable touchpoint. Track resolution rates, agent efficiency, and customer satisfaction across your AI support team.
Marketing agents analyze performance data, adjust bids, generate content, and retarget audiences autonomously. Track every decision they make and measure the impact on your ROAS.
Why Server-Side
AI agents never execute client-side JavaScript. They make direct HTTP calls. Your server-side container is the only reliable collection point for agent traffic.
of agent traffic runs client-side JS
of enterprise apps will have AI agents by 2026
of MCP calls pass through server-side
average MCP tool call latency
Start with a free container and enable MCP in minutes. Or talk to us about your agent analytics strategy.