LinkedIn Ads MCP Server

Production-grade MCP server for LinkedIn Campaign Manager API. Enables Claude to manage LinkedIn ad accounts, campaigns, ad sets, and creatives with full read/write support.

Features:

• 65+ production-tested tools
• Multi-account management (multiple LinkedIn ad accounts)
• Campaign, ad group, creative, and targeting management
• Targeting: demographics, interests, job titles, locations, behaviors
• Budget & bid optimization
• Campaign cloning & templating
• Safe create/update operations (validation first)

Stats:

• ⭐ Production-proven: 65+ active campaigns under management
• 📊 Multi-client: Flowspace, Forcepoint, Neon One
• 🔄 CTR accuracy: Uses landingPageClicks (not total clicks with engagement)
• ✅ Full test coverage: 40+ contract tests

Installation

npm install mcp-linkedin-ads

Configuration

1. Get OAuth credentials:

   • Go to LinkedIn Developer Portal
   • Create a new app with "Sign In with LinkedIn" + "Marketing Developer Platform"
   • Scopes: r_ads, rw_ads, w_member_social, r_organization_social, w_organization_social

2. Create config.json:

   cp config.example.json config.json
   

3. Fill in your credentials:

   {
     "oauth": {
       "client_id": "YOUR_CLIENT_ID",
       "client_secret": "YOUR_CLIENT_SECRET"
     },
     "clients": {
       "default": {
         "account_id": "YOUR_AD_ACCOUNT_ID",
         "name": "My Account"
       }
     }
   }
   

4. Set environment variables (recommended for production):

   export LINKEDIN_CLIENT_ID="your_client_id"
   export LINKEDIN_CLIENT_SECRET="your_client_secret"
   export LINKEDIN_AD_ACCOUNT_ID="your_account_id"
   

Usage

Start the server

npm start

Use with Claude Code

Add to ~/.claude.json:

{
  "mcpServers": {
    "linkedin-ads": {
      "type": "http",
      "url": "http://localhost:3001"
    }
  }
}

Example API Calls

// Get client context
get_ads_client_context({ working_directory: "/path/to/project" })

// List campaigns
get_campaigns({ account_id: "511664399" })

// Create campaign
create_campaign({
  name: "Q2 B2B Campaign",
  objective: "LEAD_GENERATION",
  status: "PAUSED"
})

// Get campaign insights
get_insights({
  object_id: "campaign_123",
  time_range: "last_7d"
})

Key Data Conventions

CTR Calculation

• Always use landingPageClicks (LP clicks), NOT clicks (total clicks)
• Total clicks include social engagement (likes, comments, shares) which inflates CTR
• This is critical for accurate campaign analysis

Campaign Status

• DRAFT — Not yet active
• ACTIVE — Actively serving
• PAUSED — Paused manually
• ARCHIVED — Historical record

Audience Targeting

• Flexible targeting: flexible_spec array (OR logic between items)
• Exclude targeting: exclude_spec array
• Job titles, seniority levels, functions, locations all supported

CLI Tools

npm run dev                 # Run in dev mode (tsx)
npm run build             # Compile TypeScript
npm test                  # Run contract tests

Architecture

Files:

• src/index.ts — MCP server, OAuth flow, tool handlers
• src/tools.ts — Tool schema definitions
• src/errors.ts — Error handling & classification
• config.json — Credentials & client mapping

Error Handling:

• OAuth errors: Clear messages for token refresh needed
• Rate limits: Automatic retry with backoff (recommended by LinkedIn)
• Invalid campaigns: Validation before creation (save API quota)

Development

Adding a New Tool

1. Define schema in src/tools.ts
2. Add handler in src/index.ts tool dispatch
3. Test with contract test in .contract.test.ts
4. Document in here

Testing

npm test -- --run        # Single run
npm test -- --watch      # Watch mode

Troubleshooting

Config file not found

cp config.example.json config.json
# Fill in your OAuth credentials and account IDs

Missing required credentials

Check that:

• LINKEDIN_CLIENT_ID and LINKEDIN_CLIENT_SECRET are set (or in config.json)
• config.json exists and contains at least one client with account_id
• OAuth tokens are valid (they expire)

Rate limit exceeded

LinkedIn enforces strict rate limits. The server includes automatic retry with exponential backoff. If you hit limits:

• Wait before retrying
• Batch operations when possible
• Reduce query frequency

CTR seems too low

Verify you're using landingPageClicks (LP clicks), not clicks (all interactions). The latter includes social engagement and will inflate CTR incorrectly.

License

MIT

Contributing

Contributions welcome! Please:

1. Add tests for new tools
2. Update README with new features
3. Follow existing code style
4. Tag release with version

Support

• Issues: GitHub issues for bugs/feature requests
• Docs: See docs/ folder for detailed API reference
• Community: Discussions in GitHub

Built By

Mark Harnett — Demand generation leader and paid media practitioner building AI-powered ad management tools. This server was born from managing 65+ LinkedIn campaigns across multiple clients and wanting Claude to handle campaign ops, performance analysis, and bulk creative updates autonomously.

Built with production workloads in mind: resilient API calls (circuit breakers, retry with backoff, response truncation), accurate CTR calculation (landing page clicks, not total clicks), and multi-account support.

Also by Mark: mcp-bing-ads — Bing/Microsoft Ads MCP server with 30+ tools.

Last Updated: 2026-03-13