# Vexly

> Use this tool when you need to analyze business performance across multiple services, including e-commerce and advertising platforms. Vexly solves problems related to fragmented data and manual analysis by providing a unified view of performance metrics, risk identification, and opportunity analysis. It takes in data from various sources, such as Shopify and Google Ads, and outputs structured findings to inform business decisions.

Canonical page: https://skillsregistry.net/skills/vexly  
JSON: https://api.skillsregistry.net/v1/skills/vexly

## Description

Connects to the Vexly platform for cross-service business performance review across Shopify, Meta Ads, Google Ads, TikTok Ads, Reddit Ads, Mixpanel, and Google Search Console. Returns structured findings with risk identification and opportunity analysis.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vexly)
- **Repository:** <https://github.com/just-strings/vexly-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": "vexly"
    }
  }
}
```

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