Linkedin Ads

io.github.mharnettPublished by GitHub account mharnettv1.0.2Updated Oct 24, 2026

MCP server for LinkedIn Campaign Manager — campaigns, creatives, and analytics

VerifiedSTDIODesktop onlyData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

A local MCP server that lets an assistant read LinkedIn Campaign Manager ad accounts, campaigns, creatives and performance analytics.

What you can do
List ad accounts and switch between multiple LinkedIn ad accounts via a client context tool, using a working directory to locate configuration and credentials. List campaigns and campaign groups for an account. Retrieve account and campaign performance over a date range with selectable time granularity. Run flexible pivot-based analytics broken down by demographics, device or creative. Read-only by default; any future mutating tools stay hidden and refused unless write mode is explicitly enabled.
When to use it
Useful when you manage LinkedIn ads and want an assistant to pull campaign lists, performance figures and demographic or device breakdowns for reporting and analysis without leaving the chat. Suited to agencies or in-house teams handling several ad accounts.
Requirements
Runs locally as an npm package (mcp-linkedin-ads) on Node.js, started with npm start and connected over a local HTTP endpoint. Needs a LinkedIn Developer app with Marketing Developer Platform access and OAuth credentials: LINKEDIN_ADS_CLIENT_ID, LINKEDIN_ADS_CLIENT_SECRET and LINKEDIN_ADS_ACCESS_TOKEN, plus a config.json mapping at least one ad account ID. Optional LINKEDIN_ADS_REFRESH_TOKEN and LINKEDIN_ADS_MCP_WRITE. Network access to LinkedIn's API.
Before you install
Requires LinkedIn OAuth client credentials and an access token, which grant access to ad accounts; the README warns not to share or commit the config file and to gitignore it. Tokens expire and must be refreshed. Write mode is off by default; setting LINKEDIN_ADS_MCP_WRITE=true would expose mutating tools against production ad accounts. LinkedIn enforces strict rate limits. Ad performance data is sent to the model provider through the assistant.

Installation

In SourceWeft

  1. Open Linkedin Ads in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

LinkedIn Ads MCP Server

[npm version] [npm downloads] [GitHub stars] [License: MIT]

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:

  • 7 tools -- production-tested
  • Multi-account management (multiple LinkedIn ad accounts)
  • Campaign and campaign group listing
  • Account and campaign performance analytics
  • Flexible pivot-based reporting (demographics, device, creative breakdowns)
  • Landing page click-based CTR (not total clicks)

Stats:

  • ⭐ Production-proven: active campaigns under management
  • 📊 Multi-client: per-client config, no client data in repo
  • 🔄 CTR accuracy: Uses landingPageClicks (not total clicks with engagement)
  • ✅ Full test coverage: 40+ contract tests

Installation

bash
npm install mcp-linkedin-ads

Configuration

Security: Never share your .mcp.json file or commit it to git -- it may contain API credentials. Add .mcp.json to your .gitignore.

  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:

    bash
    cp config.example.json config.json
  3. Fill in your credentials:

    json
    {
      "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):

    bash
    export LINKEDIN_ADS_CLIENT_ID="your_client_id"
    export LINKEDIN_ADS_CLIENT_SECRET="your_client_secret"
    export LINKEDIN_ADS_ACCESS_TOKEN="your_access_token"

Environment variables

VariableRequiredDefaultPurpose
LINKEDIN_ADS_CLIENT_IDyes--OAuth client ID
LINKEDIN_ADS_CLIENT_SECRETyes--OAuth client secret
LINKEDIN_ADS_ACCESS_TOKENyes--OAuth access token
LINKEDIN_ADS_REFRESH_TOKENoptional--OAuth refresh token (rotated automatically when set)
LINKEDIN_ADS_MCP_WRITEoptionalfalseSet to true to expose mutating tools. Read-only by default.

Read-only by default

The LinkedIn Ads MCP currently ships with read-only tools only. The write-mode gate is already in place so that any future create/update/pause/enable/remove tool is hidden from ListTools and refused at call time unless LINKEDIN_ADS_MCP_WRITE=true is set in the MCP server environment. This mirrors the Google Ads MCP gate and matches the pattern being rolled out to Bing / Reddit / Meta. Motivation: prevent a casual LLM request from mutating production ad accounts without the operator explicitly opting in.

Usage

Start the server

bash
npm start

Use with Claude Code

Add to ~/.claude.json:

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

Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Example API Calls

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

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

// Get campaign performance
linkedin_ads_campaign_performance({
  start_date: "2026-01-01",
  end_date: "2026-03-31",
  time_granularity: "MONTHLY"
})

// Flexible analytics (e.g. by seniority)
linkedin_ads_analytics({
  start_date: "2026-03-01",
  end_date: "2026-03-31",
  pivot: "MEMBER_SENIORITY"
})

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

bash
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

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

Troubleshooting

Config file not found

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

Missing required credentials

Check that:

  • LINKEDIN_ADS_CLIENT_ID and LINKEDIN_ADS_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 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 10 tools.

Last Updated: 2026-03-13

Source: README.md at commit 05dcb5b

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.2LatestSep 16, 2026

Score

50% of the applicable checks met

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  • Reached in the last 30 days25 pts

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  • Auth declared10 pts

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  • Tools listed15 pts

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  • DescriptionRequired15 pts
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  • Documentation15 pts
  • License10 pts