Best MCP servers for Meta Ads and Google Ads in 2026

Meta's own MCP server at mcp.facebook.com/ads launched on 29 April 2026 as an open beta. Its 29 tools cover campaign creation and updates, account and Page lookups, ten catalog tools, four dataset quality tools and seven insight tools with benchmarks and an anomaly signal. You sign in with your Facebook Business login and choose a consent level; everything it creates lands paused.

Pick it when the job is inside Meta and nowhere else: a feed error, a product set, pixel and dataset quality, or a change you want written straight away. It has no schedule, no cross-platform view and no store data.

Google's open source server exposes three tools: list the accounts your credentials reach, run a GAQL query, and read a resource's fields. It is read-only in its current release, written in Python, and runs over stdio on your machine or on a Cloud Run service you deploy. Developer tokens are no longer required according to Google's documentation.

Pick it when a developer can set it up and the team only needs to read, especially fields no packaged tool covers. It builds nothing, edits nothing and looks up no keyword volumes.

Adrails runs one hosted server at adrails.ai/api/mcp for Meta Ads and Google Ads, with 63 tools: the agents' own reports, Keyword Planner volumes, campaign builds and edits, pauses and budget moves. Shopify, Stripe, Klaviyo, Triple Whale, PostHog, RevenueCat and Google Drive are read next to spend. Every change is prepared as a proposal and applied in Adrails after it reads the platform again, with an undo. Scheduled and threshold automations keep running when no chat is open.

Pick it when the team runs several accounts for clients or stores, wants revenue next to spend, and wants changes reviewed before they happen. It covers two platforms, not six, and has no catalog tools.

Pipeboard connects Claude, ChatGPT, Cursor and other clients to Meta, Google, TikTok, LinkedIn and more platforms through one hosted MCP server, with a free plan and tokens scoped per permission. It is the widest platform list of the hosted servers here.

Pick it when the team buys media on platforms Adrails does not cover and wants one connector for all of them. It brings no agents or automations of its own, so the work happens in the chat.

GoMarble runs AI agents that watch paid media accounts across Meta, Google, TikTok and Microsoft Ads, with more than 80 connectors, and exposes MCP access from Claude and ChatGPT alongside an open source server. Its strength is the number of sources its agents read from.

Pick it when monitoring across many sources matters more than building campaigns from the chat, and check on its pricing page which plan includes MCP access.

Adspirer is an MCP server for Claude, ChatGPT, Cursor and other clients across six ad platforms, priced by tasks with a free tier, then $40 a month. It positions itself as the agent inside your assistant rather than a workspace.

Pick it when you want to stay in the chat and pay per task. There is no workspace of campaign tables, split tests or automations around it.

Each server was checked on four questions: which platforms it reaches, who runs it, what happens to a write, and what it costs to start. The answers come from each vendor's own pages and documentation on the review date, listed in the sources. Where a vendor does not publish a figure, the table says so instead of estimating one.

Adrails is our product, so the recommendation for it is ours. The other five are described by what their pages state, and the jobs we point them to are the ones their tools cover and ours do not.