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LinkedIn Ad Library MCP Server

LinkedIn Ad Library MCP Server

LinkedIn Ad Library MCP Server

License: MIT Node MCP

An MCP server that connects AI assistants to LinkedIn's Ad Library API. Search any advertiser's sponsored content, job postings, and influencer partnerships — directly from Claude or any MCP-compatible client.

Use Cases

Competitor Ad Analysis — See what ads your competitors are running, where they're targeting, and how much reach they're getting. Compare messaging strategies across markets.

Creative Benchmarking — Discover which ad formats (video, image, document, carousel) competitors use most. Analyze copy patterns and CTAs across your industry.

Hiring Signal Tracking — Monitor sponsored job postings to spot competitors scaling teams, entering new markets, or launching new products based on the roles they're hiring for.

Influencer & Thought Leader Discovery — Find which brands are running thought leader ads (paid endorsements) and identify creator partnerships in your space.

Related MCP server: LinkedIn MCP Server

Tools

Tool

What it does

search_ads

Search sponsored ads — returns advertiser, ad type, impressions, country distribution, targeting

search_jobs

Search sponsored job postings — returns title, organization, location, description

search_paid_endorsements

Search thought leader ads — returns post URLs

Example Prompts

Once connected, try asking your AI assistant:

"Show me all LinkedIn ads mentioning Klarna in the last month"

"Compare the ad targeting strategy of Stripe vs Adyen in Europe"

"What job roles is Revolut sponsoring on LinkedIn right now?"

"Find thought leader ads in the BNPL space"

"Analyze the top 50 fintech ads by impression volume and summarize the messaging patterns"

"Which countries is PayPal targeting with their LinkedIn campaigns?"

Prerequisites

  1. A LinkedIn Developer App with the Ad Library product enabled

  2. A LinkedIn OAuth access token (expires every 60 days)

Getting Your Access Token

Fastest way — use LinkedIn's built-in token generator:

  1. Go to LinkedIn Token Generator

  2. Select your app

  3. Select any scope (e.g., openid)

  4. Click Request access token

  5. Copy the token

Alternative — manual OAuth flow:

  1. Add a redirect URI in your app's Auth tab

  2. Visit:

    https://www.linkedin.com/oauth/v2/authorization?response_type=code&client_id=YOUR_CLIENT_ID&redirect_uri=YOUR_REDIRECT_URI&scope=openid&state=random123
  3. Authorize → copy the code parameter from the redirect

  4. Exchange it:

    curl -X POST https://www.linkedin.com/oauth/v2/accessToken \
      -d grant_type=authorization_code \
      -d code=AUTH_CODE \
      -d client_id=YOUR_CLIENT_ID \
      -d client_secret=YOUR_SECRET \
      -d redirect_uri=YOUR_REDIRECT_URI

Setup

git clone https://github.com/confortistefano/linkedin-ads-library-mcp.git
cd linkedin-ads-library-mcp
npm install
npm run build

Connect to Claude Code

Add to your MCP settings (.claude/settings.json or project settings):

{
  "mcpServers": {
    "linkedin-ads": {
      "command": "node",
      "args": ["/path/to/linkedin-ads-library-mcp/dist/index.js"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your-token-here"
      }
    }
  }
}

Connect to Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "linkedin-ads": {
      "command": "node",
      "args": ["/path/to/linkedin-ads-library-mcp/dist/index.js"],
      "env": {
        "LINKEDIN_ACCESS_TOKEN": "your-token-here"
      }
    }
  }
}

Docker

echo "LINKEDIN_ACCESS_TOKEN=your-token" > .env
docker compose up -d

Server available at http://localhost:3001/mcp.

API Reference

This server wraps LinkedIn's Ad Library API (version 202503):

Endpoint

Method

Tool

/rest/adLibrary

FINDER q=criteria

search_ads

/rest/jobLibrary

FINDER q=criteria

search_jobs

/rest/paidEndorsementPosts

FINDER q=searchCriteria

search_paid_endorsements

Rate Limits

LinkedIn doesn't publish specific rate limits. What we know:

  • Limits are per-app, per-day, reset at midnight UTC

  • HTTP 429 = limit reached, wait until reset

  • Email alert at 75% usage

  • Check your limits: Developer Portal → your app → Analytics tab

Environment Variables

Variable

Default

Description

LINKEDIN_ACCESS_TOKEN

required

OAuth access token

MCP_TRANSPORT

stdio

Transport mode: stdio or http

MCP_PORT

3000

HTTP server port

HOST

127.0.0.1

HTTP server bind address

RATE_LIMIT

100

Max requests per minute (HTTP mode)

Development

LINKEDIN_ACCESS_TOKEN=your-token npm run dev    # Dev mode with hot reload
npm run build                                    # Compile TypeScript
LINKEDIN_ACCESS_TOKEN=your-token npm start       # Production

Disclaimer

This is an unofficial, community-built tool. Not affiliated with or endorsed by LinkedIn. Users are responsible for complying with LinkedIn's API Terms of Use and must provide their own Developer App credentials.

License

MIT

Available Tools

3 tools
search_adsA

Search LinkedIn sponsored ads by keyword, company, or topic. Use to analyze competitor ad copy, messaging strategy, creative formats, geo-targeting, and audience segmentation.

Returns: advertiser name and payer, ad type (video, image, document, status update), impression ranges, country distribution (%), targeting facets (language, location, job title, company, audience), and direct link to the ad.

Example: search_ads({ keyword: "klarna", count: 25 })

Inputs: keyword (required), count, start.

search_jobsA

Search LinkedIn sponsored job postings. Use to track competitor hiring patterns, team expansion signals, and market positioning through the roles they're investing in.

Returns: job title, organization, location, payer (who's paying for the sponsorship), and description preview.

Example: search_jobs({ keyword: "fintech product manager", count: 25 })

Inputs: keyword (required), count, start.

search_paid_endorsementsA

Search LinkedIn thought leader ads (paid endorsements). Use to identify influencer partnerships, executive branding strategies, and creator-driven campaigns by competitors.

Returns: direct URLs to the sponsored posts.

Example: search_paid_endorsements({ keyword: "scalapay" })

Inputs: keyword (required), count, start.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct category: sponsored ads, jobs, and paid endorsements. There is no overlap between the search functions, and the descriptions clearly differentiate their purposes.

    Naming Consistency5/5

    All tool names follow a consistent 'search_' + noun pattern, making the set predictable and easy to navigate. The naming convention is uniform across all three tools.

    Tool Count4/5

    Three tools is minimal but appropriate for the server's narrow scope—it covers the three main segments of LinkedIn's Ad Library. While slightly thin, each tool serves a clear and necessary function.

    Completeness4/5

    The set covers the primary ad types available in LinkedIn's Ad Library: regular ads, jobs, and thought leader ads. It provides comprehensive search results for each, though more granular detail endpoints (e.g., fetch by ID) are missing, but they are not essential for typical competitor analysis.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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