MCP server to fetch Google Ads campaigns via webhook fo

This automation template provides AI agents with structured access to Google Ads data through an HTTP webhook in the MCP server format. It dynamically retrieves lists of campaigns or details of a single campaign using parameters from AI input. Built on n8n and LangChain, it ensures seamless integration with language models.

## Who it´s for
- AI agent developers needing natural language access to Google Ads
- Marketers automating campaign analytics
- SaaS platforms extending functionality via MCP integrations
- Bot owners requiring real-time Google Ads data

## What the automation does
- Receives HTTP requests from AI agents via webhook
- Handles two operations: fetching all campaigns or a single campaign by ID
- Dynamically injects parameters from AI input using `$fromAI()` expressions
- Uses Google Ads Tool with OAuth2 authentication
- Returns standardized JSON responses compatible with LLMs

## What´s included
- Ready-to-use n8n workflow
- Webhook trigger and request handler logic
- Integration with Google Ads and MCP protocol support
- Basic setup and adaptation guide

## Requirements for setup
- n8n account (cloud or self-hosted)
- Google Ads account with API access and configured OAuth2 credentials
- MCP-compatible AI agent or test client to invoke the webhook

## Benefits and outcomes
- Accelerates AI agent integration with Google Ads without manual parsing
- Lowers technical barrier with natural language interface
- Ensures secure access via standard OAuth2 authentication
- Enables embedding ad data into CRM, chatbots, and dashboards

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.