# etracker MCP Server

> Use this tool when you need to integrate etracker analytics data into AI-driven decision-making processes, solving problems such as data siloing and manual reporting. It enables AI assistants to query page views, conversions, and ad performance data via the Model Context Protocol, providing actionable insights as output. Ideal for use cases where real-time analytics data informs AI-driven marketing strategies and optimizations.

Canonical page: https://skillsregistry.net/skills/fmeies-etracker-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fmeies-etracker-mcp

## Description

Enables AI assistants to query etracker analytics data such as page views, conversions, and ad performance via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l32pqf142e)
- **Repository:** <https://github.com/fmeies/etracker-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": "fmeies-etracker-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fmeies-etracker-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fmeies-etracker-mcp/pull`

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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