"Google AdMob" matching MCP servers:

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Self-hosted MCP server for Google Flow that enables image and video generation, upscaling, and character consistency through your own Google account.

Dry-run-first Google Ads search-term intent analyzer and negative-keyword MCP for agents.

Enables AI coding agents to autonomously generate images, music, and cinematic video directly from their coding environment by connecting to Google Labs and Google Flow through the user's Chrome session.

Provides a standardized interface for interacting with Google-Gemini's tools and services through a unified API.

Enables generating images and videos in Google Flow through an automated browser session using your Google AI Pro subscription, without API keys or third-party credit fees.

Provides OCR capabilities to LLMs via Google Cloud Vision, enabling reading of scanned documents, handwriting, and images.

Enables AI image and video generation using Google Vertex AI's Imagen and Veo models, with support for configurable parameters and local storage.

Enables generating images and videos on Google Flow through browser automation using your Google AI Pro subscription, with image generation free and video consuming Flow credits.

MCP server that enables AI agents to control Google Flow for image and video generation using your own Google account.

Enables generating images, videos, characters, and scenes through Google Flow. Supports SSE and Vercel deployment for integration with Gemini Spark and other IDEs.

Exposes Google AI Studio models (Gemini, Imagen, Veo) as MCP tools for text generation, image generation, and video generation, integrating with code editors and LLM clients.

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

Enables MCP clients like Claude to analyze public YouTube videos by asking questions grounded in both audio and visuals through the Google Gemini API.

MCP server that completes prompts with automatic provider fallback across OpenAI, Anthropic Claude, and Google Gemini. It is rate-limit aware, retries on transient failures, and provides a transparent attempt log.

Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.

Lets MCP clients delegate tasks to the Google Antigravity CLI, including starting and continuing conversations and listing models, while returning structured results over stdio.

Analyzes startup ideas against 6 sources (GitHub, HN, npm, PyPI, Google, Reddit) with LLM-powered intent parsing to assess competition, demand, and gaps.

Enables AI image and video generation using Google Nano Banana and Veo 3.1 via a LiteLLM gateway, providing tools for synchronous image generation and asynchronous video generation with polling, returning public URLs.