Connects your AI agent to the LinkedIn Ads API with five focused tools: list accessible ad accounts, pull campaigns with budgets and status, fetch detailed campaign metrics, analyze performance across date ranges with impressions and CTR, and browse ad creatives within campaigns. Part of the Pipeworx gateway ecosystem, so you can either use the dedicated LinkedIn Ads endpoint or access it through the unified gateway alongside 670+ other data sources. Includes an ask_pipeworx wrapper that lets you query in plain English instead of calling tools directly. Useful when you're building reporting workflows, auditing campaign spend, or need an agent that can answer questions about LinkedIn ad performance without manual API wrangling.
LinkedIn Ads MCP Pack
Part of Pipeworx — an MCP gateway connecting AI agents to 673+ live data sources.
| Tool | Description |
|---|---|
li_list_ad_accounts | Check which LinkedIn ad accounts you can access. Returns account IDs, names, and status to identify which account to use for campaigns. |
li_list_campaigns | Get all campaigns in a LinkedIn ad account (e.g., account ID "501234567"). Returns campaign IDs, names, budgets, status, and date ranges. |
li_get_campaign | Get full details for a specific LinkedIn campaign (e.g., campaign ID "501234567"). Returns name, budget, spend, status, targeting, and performance metrics. |
li_campaign_analytics | Analyze campaign performance over a date range (e.g., "2024-01-01" to "2024-01-31"). Returns impressions, clicks, conversions, spend, and CTR by campaign. |
li_list_creatives | View all ads in a LinkedIn campaign (e.g., campaign ID "501234567"). Returns creative IDs, titles, content, status, and creation dates to compare variations. |
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"linkedin_ads": {
"url": "https://gateway.pipeworx.io/linkedin_ads/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 673+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Linkedin_ads data" })
The gateway picks the right tool and fills the arguments automatically.
MIT
io.github.shelvick/shopify-subscription-reconciliation
zleventer/google-ads-mcp
csoai-org/meok-stripe-acp-checkout-mcp
io.github.mharnett/google-ads
csoai-org/stripe-billing-mcp
co.pipeboard/google-ads-mcp