Porter Metrics MCP in Claude: your ad data plus Linkeddit's competitor and AI answer data

Porter describes its MCP as a remote server that turns Claude into a marketing workspace, with saved blends, hosted reports and a catalog of 750+ marketing actions. The Claude listing shows 28 tools: 14 reads, 10 writes, 1 admin tool, 1 meta tool and 2 it does not classify. The tools include list_accounts, list_fields, query_data, create_blend, query_blend, create_report, preview_report, share_report, list_actions and execute_action.

The listing names 29 data connectors, including Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, Google Analytics 4, Search Console, Shopify and HubSpot. Porter's own page says 32, so check the connector list in your account before you plan around one source. Reports are hosted at a stable URL and stay private until you share them, which is what separates Porter from a chat answer that disappears when the session ends.

Querying and previewing change nothing, but execute_action can. Porter's page marks that tool destructive because many actions modify state on the third-party platform, and says destructive tools always prompt for confirmation. Read tools such as query_data, list_accounts and list_reports run without a prompt.

Keep the safe split on every prompt: let Claude read, analyze and draft, and approve each write yourself. The risk people raise is real. A viewer on a Porter Metrics YouTube video about Meta and AI wrote: "I connectd the official Meta Ads MCP with only read only permissions and i got banned. Be careful." That comment is about Meta's own server, not Porter, and the video's description, written by Porter, says Meta bans over how you connect rather than over using AI. Read Meta's policies for your own account before you grant write access to any tool.

Porter reads what you already run. Linkeddit supplies the outside view. Its Compete data tracks competitor blogs, changelogs, pricing pages and reviews, each move with a priority and a reason it matters. Answer Radar records which brands the five answer engines name for your buying questions. Search data adds weekly Google ranks and whether Google's AI Overview cited you. Both products together come with one plan at $60 a month, and Linkeddit writes no ads and edits no campaigns.

On Linkeddit's test project, plausible.io, a read-only run returned 25 tracked keywords. For google analytics alternative the site ranked 2 and Google's AI Overview cited it. For cookieless analytics it was not in the top 10, yet the AI Overview still cited it, which shows that a Google rank and an AI citation are separate facts. The competitor footprint showed matomo.org in the top 10 on 11 checked keywords with 23 citations in the latest AI answer run, 21 of them from ChatGPT.

Start with Linkeddit, because a change you did not see cannot be answered. compete_signals_get lists competitor moves with a priority, a category and a source link. On the test project it returned a message from Simple Analytics about a German court ruling on Meta's tracking technology, rated low priority, dated week of 2026-10-26. That is the shape of what Claude should bring to your ad data.

Then ask Porter what your own accounts did around that date: spend, click through rate and cost per result on the campaigns that mention the same claim. Claude can line the competitor change and your numbers up in one table. Any edit to ad copy or budgets stays a draft you approve, through Porter's confirmation step.

Linkeddit supplies the keywords people use and who owns them. Its keyword tools return autocomplete phrases and the live Google results for a phrase, and the research tools show which keywords you rank for and which competitors beat you. On the test project, 59 keywords had been checked, and reddit.com, posthog.com and matomo.org were among the domains in the top 10 most often.

Porter supplies your own search term and campaign performance through its Google Ads and Search Console sources. Claude can then separate keywords where you already win from keywords where a competitor holds the answer. It should then draft ad groups for the second list and leave publishing to you.

search_competitors_get returns the domains that beat you on the keywords you track, with how many keywords each holds in the top 10, their average position and how often Google's AI Overview or an answer engine cited them. It reports measured overlap, not a list of rivals you guess at. That is a better start for ad targeting and negative keywords than a competitor you assumed.

Ask Claude to take the top five domains, check them against Porter's campaign data for matching terms, and propose which to bid on, which to exclude, and which to cover with content instead. Porter's write tools only run when you confirm them.