How to choose the best MCP server for ad management
MCP servers that connect your AI assistant to Google Ads, Meta, Microsoft, TikTok and LinkedIn have multiplied. They do not all do the same job: some only pull reports, others actually build campaigns. This guide is a decision list, not a product list; it tells you which questions to ask and why each one matters.
There are five criteria: write access, approval gate, hosting model, platform coverage and pricing. We explain each, then add how Tecrube answers them. We recommend deciding in your own account, with a real task; the last section shows how.
6 October 2026
1. Write access: should the assistant finish the job or hand you a report?
This is the sharpest line between ad MCPs. Read-only servers pull spend, conversions and CPA; useful, but they never touch the campaign, so you still apply changes by hand in the dashboard. Servers with write access create campaigns, pause them, change budgets and bids, add negative keywords.
List the things you did in your ad account over one week. Lines like “checked a report” are reads; “raised a budget, paused a campaign, added negatives” are writes. If writes dominate, a read-only server is a waste of time.
- Does the tool list include tools without a readOnlyHint annotation?
- Are campaign creation, budget and bid changes, negatives, audiences and creatives each supported?
- Is write depth equal across platforms, or only on one of them?
2. Approval gate: do not let the AI spend your budget alone
Write access is power; unchecked power is expensive on a live budget. A serious server shows every write as a preview first: which account, which object, current value, new value. Nothing should be applied until you approve.
Where the gate sits matters too. A client-side “always allow this tool” setting can skip the confirmation; a gate enforced on the server cannot be skipped. It should come with a single-step change cap, customer isolation and an audit log.
- Does the preview show the current and new value side by side, or just say “I will update it”?
- Is approval enforced on the server, or can a client setting switch it off?
- How much can a budget rise in one step? Can you see who approved what, and when?
3. Hosting: do you want to run a server?
There are two models. With a self-hosted open-source server you deploy the code on your own infrastructure, manage developer tokens and track updates; control is maximal, and so is the maintenance load. With a hosted model the provider runs the server; you paste an address and sign in with OAuth.
Self-hosting makes sense for teams with engineering capacity that want full control over the code. For marketing teams, agencies and solo advertisers, hosted OAuth is almost always the right choice: nothing to install, no key sitting in a file, and it works from a phone.
- Is setup pasting an address, or installing a package and generating tokens?
- Where do credentials live: in your file, or in the provider's encrypted store?
- When you revoke access, is it cut in every client at once?
4. Platform coverage: one network or the whole media plan?
If your budget runs on one channel, a single-platform server is enough. If you run search on Google, remarketing on Meta, upper funnel on TikTok and B2B on LinkedIn, installing a separate connector per network kills the assistant's whole-picture view. A multi-platform server answers “which channel worked this week, where do I move budget” in one session.
Ask about measurement sources alongside the ad networks: without Tag Manager, GA4 and Search Console in the same chat, you return to the browser to verify conversion setup.
- Which ad networks are really live, writing today rather than “coming soon”?
- Is the measurement side (GTM, GA4, Search Console, YouTube) on the same connection?
- Are unsupported platforms listed explicitly, or does the page say “anything with an API”?
- For agencies: is login-customer-id handled correctly, does it switch cleanly between clients, can one client's data leak into another's session? Connect a second client account during the demo and test it.
5. Pricing and action limits: where the real cost sits
Pricing usually runs on two axes: a monthly subscription and an action or credit limit. Open-source options look free as a licence but shift the cost of servers, maintenance and API access management onto you. With hosted options, read the limits: does pulling a report spend credits, is “unlimited” really unlimited, is there a trial without a card?
- Does the trial need a card, and do the credits expire?
- Is the difference between single-account and multi-account plans clear?
- Is there an extra charge per platform?
How Tecrube answers these criteria
Tecrube is a hosted remote MCP server, and the five criteria above sit at the centre of its design. We do not name competitors; this section only lists our own answers, and we suggest deciding by trying it in your own account.
- Write access: creating and pausing campaigns, budgets and bids, keywords and negatives, audiences, creatives, extensions and conversion actions are live on Google Ads, Meta Ads, Microsoft Advertising, TikTok Ads and LinkedIn Ads.
- Approval gate: every write returns a server-side preview and is never applied without approval; single-step budget increases above 50% are rejected; every applied change is written to the audit log.
- Hosting: paste https://mcp.tecrube.com/mcp and sign in with Google; no developer token, API key or server setup. Tokens are stored encrypted on the server.
- Platform coverage: five ad networks plus Google Tag Manager, GA4, Search Console, YouTube and Business Profile on the same connection. The platforms we do not support are listed openly on a separate page.
- Agency: MCC support, multi-account switching and per-client isolation on the Agency plan; every action logged per account.
- Pricing: 75 free credits that never expire, no card; Pro $49/month for one account, Agency $99/month for multiple accounts. No extra charge per platform.
Decide in your own account
Do not decide from a demo video. Connect the candidate to the app you actually use and give it a real task: “pull last week's search terms report and propose negatives for the queries that waste spend.” Check that the approval screen really appears, that the preview is accurate, and that the change shows up in the dashboard after you apply it.
If you are an agency, connect a second client account and test the switch. In Tecrube you can complete this round on the free credits without entering a card.
Frequently asked questions
MCP is an open standard for connecting AI assistants to external systems. In advertising, an MCP server bridges an assistant such as Claude or ChatGPT and the ad platforms: the assistant reads your account data and, if the server offers write access, also builds campaigns and changes budgets. Work you do by clicking in the dashboard gets done by talking.
Write access together with the approval gate. Without writes the assistant stays a report machine; without a gate, write access is dangerous on a live budget. Settle those two first, then look at hosting, coverage and price.
Safety depends on the server's design, not on the protocol. Look at three things: are writes previewed and held for explicit approval; is data isolated when several accounts are connected; can you see who changed what and when. OAuth authorisation is safer than long-lived API keys in files and can be revoked by the platform at any moment.
It depends on the model you choose. Running an open-source server on your own infrastructure gives full control over the code, while tokens, updates and runtime become your job. Tecrube is hosted: add the address, sign in with Google, no setup.
Hosted remote MCP servers work with any MCP-capable app. Tecrube is added as a custom connector in Claude, through developer mode in ChatGPT, and with one configuration line in Claude Code and Cursor; authorisation is tied to your account, so you do it once.
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