ZBS Index What actually exists in applied AI, with the source next to it

mcp server

eyepup

Agentic visitor analytics — five tools that hand the next CRO fix to your coding agent.

Description as published by the maintainer. Source

  • version 0.1.1
  • archived
  • analytics

archived — The linked repository returns 404. It was deleted, renamed or made private. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

5 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

eyepup_ask(days, site, question)
Ask a natural-language question about your site visitors. Use this when the user asks 'why are people bouncing from /pricing', 'who's hot right now', 'what changed this week', or any other free-text question about visitor behaviour. Returns an LLM-grounded answer with evidence and ranked actions. Required: question.
eyepup_log(kind, site, paths, title, description)
Log a change you just shipped. The dossier agent reasons about every visitor profiled AFTER this log row, so it can grade whether the friction pattern recovered. CALL THIS after every UX edit. Required: title.
eyepup_todo(site, limit)
Get the top friction patterns ranked by impact score. Use BEFORE making any UX edit — the highest-impact pattern is usually a more valuable fix than whatever the user just asked about. Each row carries a paste-ready recommended_action.
eyepup_visitor(distinct_id)
Fetch the full LLM-written profile for a single visitor by distinct_id. Use after eyepup_visitors_hot or eyepup_todo to dig into a specific visitor. Required: distinct_id.
eyepup_visitors_hot(site, limit)
Return the top high-intent visitors currently active. Use when the user asks 'who's hot', 'who's about to convert', 'who should I focus on'.

Last successful function declaration observed on . Source: https://eyepup.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://eyepup.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-05 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-05-05 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status not_found GitHub returned 404 for the repository the maintainer listed. The project was deleted, renamed or made private, so the listing points at nothing. as of fetch GitHub
mcp tools declared 5 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe eyepup.com
mcp endpoint status ok The server listed 5 functions when asked. as of probe eyepup.com

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. edholofy/agentic-analytics on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://eyepup.com/mcp — eyepup.com, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.