"A server for finding information about Google Ads" matching MCP servers:

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Automates marketing workflows across Google Ads, Meta Ads, and GA4, enabling content generation, scheduling, and analytics via a multi-agent pipeline.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables AI agents to manage Google Ads campaigns (Search and UAC) through natural language, with read tools always available and guarded write operations for budgets, campaigns, ad groups, and keywords.

Enables AI clients to read Google Ads account data through reporting tools for campaigns, ad groups, keywords, and raw GAQL queries, with no write or mutate capabilities.

A read-write MCP server for managing Google Ads campaigns, ad groups, keywords, and ads via natural language.

An MCP server that provides read and write access to Google Ads, allowing natural language management of campaigns, budgets, ad groups, bids, and keywords, with dry-run validation for safety.

MCP server for Google Ads API — 22 tools for campaigns, keywords, RSAs, assets, audiences, geo/device performance, impression share, auction insights, and budget pacing. Community edition with B2B/agency-focused tooling beyond the official Google MCP.

Enables managing Google Ads campaigns through an AI assistant with read-only reporting, recommendations, and gated write operations for bids, budgets, and statuses, all backed by preview and audit logging.

An MCP server for the Google Ads API, providing 29 tools for campaign management, reporting, and optimization.

Enables reading and analyzing Google Ads data, planning keywords, and previewing campaign changes before applying them, all through natural language.

Enables comprehensive Google Ads campaign management and analysis through natural language, including performance metrics, keyword optimization, budget management, and custom GAQL queries.

Multi-account Google Ads MCP server that allows connecting any number of Google Ads accounts and querying campaign performance, keywords, search terms, and account analytics by name in the same session.

Enables programmatic management of Google Ads campaigns, allowing users to monitor performance metrics, update budgets, and toggle campaign statuses. It supports real-time analytics, top performer analysis, and reporting in CSV or JSON formats.

Enables interaction with Google Ads through the Google Ads API using GCloud authentication. Supports GAQL query execution, performance data retrieval, account management, and resource discovery with pagination and multiple output formats.

A comprehensive Google Ads API integration for AI assistants through the Model Context Protocol. This server enables Claude AI and other MCP-compatible clients to manage Google Ads campaigns, analyze performance, and execute GAQL queries with natural language commands.

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

Enables full read/write control of Google Ads accounts—managing campaigns, ad groups, ads, keywords, Performance Max, budgets, targeting, and performance reporting through natural language. Supports Search, Display, Video, and Demand Gen campaign types with flexible GAQL querying and comprehensive reporting.

A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to MCP Clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.

Enables comprehensive management of Google Ads accounts by allowing users to create campaigns, manage keywords, and generate performance reports through a context-aware interface. It features a three-layer architecture that integrates product knowledge and historical campaign data to support intelligent decision-making.