# adextract

> adextract — ad-vertly-adextract-mcp-server. Use this tool when you need to streamline ad intelligence gathering across multiple platforms, such as Meta, TikTok, and LinkedIn. Adextract solves the problem of fragmented ad libraries by providing a single endpoint to search, read, and compare ads, eliminating the need for manual data collection or maintenance of scrapers. It takes platform-specific queries as input and returns comparable ad data as output, ideal for use cases like competitor analysis and market research.

Canonical page: https://skillsregistry.net/skills/ad-vertly-adextract-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ad-vertly-adextract-mcp-server

## Description

Ad libraries are public but fragmented. Every platform is a silo - different UI, different filters, different quirks. If you want to see what competitors are running, you're either opening four tabs and pasting into Excel, or maintaining scrapers that rot with every layout change. adextract gives AI agents a single MCP endpoint to search, read, and compare ads across Meta, TikTok, LinkedIn, and mo

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t7q5qatlnh)
- **Repository:** <https://github.com/ad-vertly/adextract-mcp-server>

## 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": "ad-vertly-adextract-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ad-vertly-adextract-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ad-vertly-adextract-mcp-server/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