Every way to get marketing data into Claude

There is no single list of what you can plug your marketing data into Claude with, so here is one. It covers the four approaches that actually exist, who each is for, and the failure mode each has. We make one of the things on this list and it is marked as ours; the rest is written to be useful whether or not you ever use it.

The underlying mechanism in every case except the last is the Model Context Protocol — an open standard for letting an assistant call tools that read external systems. What differs is who runs the server.

1. First-party servers, from the platform itself

Google publishes an MCP server for Google Analytics 4. Meta shipped one for its ads platform in July 2026, including governance rules that let a business portfolio owner constrain what an agent may do. These are free and come from the company that owns the data.

Good for: anyone technical enough to install them, working on one platform, who wants the shortest possible trust chain.

Where it breaks: each is one platform, each needs its own setup, and the ones that run locally run only where you installed them. Meta's is built for agents that manage campaigns, so read carefully about what permissions you are granting if all you want is to look.

2. Open-source community servers

There are several Search Console MCP servers on GitHub, along with servers for most ad platforms. Quality varies from excellent to abandoned, and the good ones are genuinely good.

Good for: developers who will read the code, and anyone who wants to modify what the tools return.

Where it breaks: you are now operating software. Somebody has to notice when an upstream API version is sunset, and OAuth credential handling is your problem — which is a real problem, because these credentials read your business's data. Check the commit history before depending on one.

3. Hosted connectors

A vendor runs the server; you approve a consent screen and paste a URL. This category includes data pipeline companies that added MCP endpoints to an existing product — Windsor.ai, Supermetrics, Coupler.io, Porter — and smaller products built connector-first, including Mevnix, which is ours.

Good for: people who want it working today, who use more than one platform, and who want it to work on every device rather than one laptop.

Where it breaks: you are trusting a third party with read access, and pricing varies enormously — from a few dollars a month to several hundred, usually depending on whether the connector is the product or an add-on to a pipeline you are also paying for. Check the scopes on the consent screen; a connector asking for write access to run reports is asking for more than it needs.

4. Exporting a CSV and pasting it

Genuinely underrated for one-off questions. Search Console and GA4 both export, and an assistant reads a CSV perfectly well.

Good for: a question you will ask once.

Where it breaks: the export caps at 1,000 rows in Search Console, you cannot ask a follow-up that needs data outside what you exported, and doing it weekly is worse than any of the options above. If you have exported the same report three times, stop and set up one of the first three.

How to choose

Three questions settle it:

How many platforms? One platform, and the first-party server is hard to argue with. Two or more, and the integration work is the actual cost — either you do it or a hosted connector has done it.

How comfortable are you in a terminal? This is not a proxy for intelligence, it is a proxy for whether the setup will get finished. Be honest about it.

What are you asking? Standing reports that go out on a schedule are a pipeline job and none of this replaces them. Questions that come up as you work are what an assistant connection is for.

If you land on a hosted connector, what Mevnix connects covers our three sources, and how it compares covers where the pipeline tools are the better answer — including several cases where they plainly are.