LinkedIn Ads MCP. Pull ad spend and performance data directly into your chat.

Look, you don't need to wrestle with the LinkedIn API or write some complicated script just to see what your paid ads are doing. This server handles all that crap for you. It lets your AI client connect directly to your professional ad accounts, acting like a single pane of glass for every dollar you spend on LinkedIn marketing.

First thing's first: You gotta know which accounts we’re talking about. The list_ad_accounts tool pulls up every single accessible LinkedIn Ad Account ID and tells you its current status. It gives your agent the full scope, so you don't waste time guessing which account to check.

Once you have an account ID, you can drill down into what’s running inside it. Using list_ad_campaigns, your agent queries everything—it lists every active and past campaign group, as well as individual campaigns tied to that specific ad account. This isn't just a list; it gives you the structure of your whole paid marketing effort.

But knowing the campaigns aren't enough. You gotta see what ads are actually running. The list_ad_creatives tool pulls up all the actual creative assets—the images, the copy, and all the technical settings for the specific ad variations used across those campaigns. It’s where you check if your team is using outdated graphics or stale messaging.

Now for the money part: performance tracking. You use get_ad_analytics to query real-time data on what's happening. This tool lets your agent track total impressions, clicks, and money spent by letting you specify a date range and which metric you want to pivot on. It’s not just 'show me the stats'; it's highly specific—you tell it the period and the numbers, and it spits out the metrics.

To measure if any of this is actually working for your business goals, you need context. The list_conversion_rules tool retrieves definitions for the conversion tracking rules. This lets your agent monitor your true return on ad spend (ROAS) by showing exactly what LinkedIn is counting as a successful action.

So, to recap how it works: You'll use list_ad_accounts first to get all the IDs. Then you’ll run list_ad_campaigns and list_campaign_groups to define the scope of campaigns within those accounts. After that, you can inspect the actual content with list_ad_creatives. When it's time for numbers, you hit get_ad_analytics, specifying dates and metrics like impressions, clicks, or spend.

If you need to know if your money is generating results, list_conversion_rules gives you the definitions needed to track that ROI. This entire setup treats your whole ad portfolio as one data source for your agent to crunch.