Google Ads▌
by google-ads-mcp
Easily launch and manage Google Ads from any AI client using our remote MCP server—no setup or coding required.
Launch and manage Google Ads straight from your AI client (e.g., Claude) with a hosted, remote MCP server - No Google Cloud setup, no JSON surgery, no terminal.
github stars
★ —
best for
- / Digital marketers managing ad campaigns
- / Small business owners running Google Ads
- / Marketing agencies handling client accounts
capabilities
- / Create Google Ads campaigns
- / Monitor campaign performance
- / Adjust ad budgets and bidding
- / Manage ad groups and keywords
- / Generate advertising reports
what it does
Launch and manage Google Ads campaigns directly from your AI client without needing to set up Google Cloud or configure complex APIs.
about
Google Ads is a community-built MCP server published by google-ads-mcp that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily launch and manage Google Ads from any AI client using our remote MCP server—no setup or coding required.
how to install
You can install Google Ads in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Google Ads is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Google Ads MCP server?
- Google Ads is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Google Ads?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Google Ads is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Google Ads against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Google Ads is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Google Ads reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Google Ads for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Google Ads surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Google Ads has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Google Ads benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Google Ads into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Google Ads is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.