What it does
Landing pages: the URL path each session entered the site on. Attribution metric — counts direct browser visits only ('user' class), one entry per session from its first pageview in the period, the same entry rule as top_referrers and top_sources. Field `sessions` counts entries, not pageviews; percentage_of_total is a percentage of all entry sessions: 58.3 means 58.3%. With conversion_event this answers "which landing pages bring visitors who convert" — unlike top_pages, whose conversion_event counts everyone who viewed a page at any point.
Example prompts
Ask Claude (or any MCP client connected to mcp-analytics) something like:
Which landing pages on mysite.com bring visitors who sign up? Use signup as the conversion.
The client will pick top_entry_pages automatically based on the prompt and your account's available sites.
Arguments
| Name | Type | Required | Description / Default |
|---|---|---|---|
site_id |
string | required | Site identifier from list_sites (8-character base32, e.g. 'wjxayhdd'). |
period |
string | optional |
Time window. Keywords: today, yesterday, last_7_days, last_30_days, last_90_days, last_12_months. Or a custom date range YYYY-MM-DD..YYYY-MM-DD (inclusive).
default: last_7_days
|
limit |
integer | optional |
Maximum number of rows to return. Capped at 1000 server-side.
default: 10
|
conversion_event |
string | optional | Optional custom event name (case-sensitive, from list_events) to treat as the conversion. Each row then gains conversion_base (units in that row), converted (how many of them fired the event anywhere in the period) and conversion_rate (ratio 0–1: 0.05 means 5%; null when no unit is attributed to the row: it has no browser sessions/visitors at all, e.g. purely server-ingested traffic, or — on privacy_mode=all sites in top_referrers/top_sources/top_entry_pages — the row was never any visitor's first entry in the period, even though it has sessions). The response gains a site-wide `conversion` block: conversion_base (units in the period), converted (how many fired the event), conversion_rate (ratio 0–1: 0.05 means 5%), `unit` and a `note` to relay. Use it to compare conversion rates between rows — absolute counts alone favour whatever row has the most traffic. The unit depends on the site's privacy_mode: 'session' on strict and balanced sites (no identity survives UTC midnight there, so only conversions within one visit count), 'visitor' on privacy_mode=all sites (first-party cookie, so a visitor who arrives Monday and converts Thursday counts as converted, if both days are inside the period). The auto-tracked 'pageview' and 'engagement' are rejected — pick one of the site's own events. |
How to call it directly
If you're integrating from your own code rather than a chat client, this is the JSON-RPC payload:
curl -X POST https://mcp-analytics.com/mcp \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "top_entry_pages",
"arguments": {
"site_id": "abc12345"
}
}
}'
Token comes from /settings after you sign up. Replace any required arguments above.
Related tools
list_sites: List all sites on the authenticated account.top_referrers: Top referring hosts.traffic_class_breakdown: Hit counts and percentages by traffic_class for the period.breakdown: Breakdown of visits by browser, os, device_type, or country (country empty in MVP).top_user_agents: Top User-Agent strings with their traffic_class.