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Cookieless web analytics MCP server for AI coding agents. Hosted at https://gizmoanalytics.io/mcp — 28 tools, OAuth onbo
The MCP server for Gizmo Analytics — cookieless
web analytics with a 28-tool MCP surface (install workflows like
setup_analytics_for_site and verify_install, analyst-grade
compositions like summarize_all_sites and explain_traffic_change,
plus filterable query primitives across every dimension).
The server is hosted at https://gizmoanalytics.io/mcp. This repo
is the public ownership marker + documentation (README, tool
inventory, license) for the MCP catalogs (MCP Registry, Smithery,
Glama, MCP.so). There's nothing to install or run locally — point
your IDE at the hosted endpoint and you're done.



In your IDE's MCP settings, add a new server with URL:
https://gizmoanalytics.io/mcp
The IDE will discover the auth server via RFC 9728 metadata, open a browser tab for OAuth consent, and store the resulting token. No API keys to paste, no config files to edit.
If your IDE doesn't yet support OAuth-aware MCP discovery, paste this into your client's MCP config file (Claude Desktop, etc.):
{
"mcpServers": {
"gizmoanalytics": {
"url": "https://gizmoanalytics.io/mcp",
"headers": {
"Authorization": "Bearer ak_admin_<your-admin-key>"
}
}
}
}
Get an admin key at https://gizmoanalytics.io/dashboard/keys.
"Why did traffic drop yesterday?"
"Which of my sites is growing fastest?"
"Add foo.com to Gizmo and install the tracker"
"Track signup events on this button"
"Top pages from Germany last quarter"
setup_analytics_for_site bundles site creation + framework-
aware snippet + paste-target file path + next-action plan into one
call. verify_install confirms the script is loading by fetching
the homepage.create_site, get_install_snippet,
get_event_tracking_snippet, get_badge_snippet, add_site_tags,
goals + funnels.summarize_all_sites,
rank_sites_by_growth, identify_dead_sites, detect_anomalies,
explain_traffic_change.get_workspace_overview, get_site_traffic,
get_top_pages, get_top_referrers, get_breakdown (any of
country / browser / device / channel / AI source / city / etc.),
get_time_series, query_events, breakdown_by_property. All
support stacked filters (country=US AND device=mobile) and
custom date ranges.See TOOLS.md for the full inventory with descriptions
(auto-generated from the live tools/list endpoint).
Full docs: https://gizmoanalytics.io/mcp-analytics
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