# LinkedIn Ads Library MCP Server

> LinkedIn Ads Library MCP Server — proxy-intell-linkedin-ads-library-mcp. Use this tool when you need to analyze and compare LinkedIn ad campaigns, targeting strategies, and ad creatives across companies. It solves problems related to competitive research, ad inspiration, and market intelligence by providing detailed insights and comparisons through natural language search. The tool takes company names and keywords as input and outputs ad library data, including images, videos, and targeting information.

Canonical page: https://skillsregistry.net/skills/proxy-intell-linkedin-ads-library-mcp  
JSON: https://api.skillsregistry.net/v1/skills/proxy-intell-linkedin-ads-library-mcp

## Description

Enables searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ug565o2p4z)
- **Repository:** <https://github.com/proxy-intell/linkedin-ads-library-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": "proxy-intell-linkedin-ads-library-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/proxy-intell-linkedin-ads-library-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/proxy-intell-linkedin-ads-library-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