# Eyepup

> Use this tool when you need to analyze visitor behavior and identify high-intent users through advanced analytics and logging capabilities. Eyepup provides insights into friction patterns, visitor interactions, and deployment metrics, helping you optimize user experiences and conversion rates. It integrates with various MCP clients, requiring an Eyepup API token for authentication, and offers customizable analytics queries and visitor profiling.

Canonical page: https://skillsregistry.net/skills/edholofy-eyepup  
JSON: https://api.skillsregistry.net/v1/skills/edholofy-eyepup

## Description

Eyepup provides agentic visitor analytics through five MCP tools covering friction pattern analysis, free-text analytics queries, visitor dossiers, high-intent visitor identification, and deployment logging. Integrates with Claude Code, Cursor, and other MCP clients. Authentication requires an Eyepup API token obtained from the integrations dashboard.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/edholofy-eyepup)
- **Repository:** <https://github.com/edholofy/agentic-analytics/tree/HEAD/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "edholofy-eyepup"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edholofy-eyepup` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edholofy-eyepup/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt