How do I get my Google Ads API credentials?

You need three things: **1. OAuth Client ID & Secret:** - Go to **console.cloud.google.com**. - Navigate to **APIs & Services → Credentials**. - Click **Create Credentials → OAuth Client ID**. - Select **Web Application**, add redirect URIs, and copy the **Client ID** and **Client Secret**. **2. Developer Token:** - Log in to your Google Ads **Manager Account** (MCC). - Go to **Tools & Settings → Setup → API Center**. - Copy your **Developer Token** (start with a test token while pending appro

Can I manage multiple ad accounts from one agent?

Yes. If you use a Google Ads Manager account (MCC), your AI agent can access all linked accounts. Simply switch between customer IDs to manage different accounts conversationally.

Can I optimize keyword bids through my AI agent?

Yes. Your agent can increase or decrease keyword bids, add negative keywords, change match types, and pause underperforming keywords — giving you full bid management from a single conversation.

What campaign types are supported?

All Google Ads campaign types: Search, Display, Shopping, Video (YouTube), App, Discovery, Performance Max, and Smart campaigns. Your AI agent can create and manage any of these types.

Google Ads MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Google Ads
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Google Ads through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "google-ads-1": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Google Ads, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Ads MCP Server

Connect Google Ads to your AI agent and manage the world's largest advertising platform conversationally.

LangChain's ecosystem of 500+ components combines seamlessly with Google Ads through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Campaign Management — List, create, update, and pause search, display, shopping, video, and performance max campaigns.
Performance Analytics — Pull impressions, clicks, CTR, CPC, conversions, conversion value, ROAS, quality score, and search impression share.
Keyword Management — Add, pause, and optimize keywords with bid adjustments, negative keywords, and match type changes.
Audience & Targeting — Manage audience segments, location targeting, demographic adjustments, and remarketing lists.

The Google Ads MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Google Ads to LangChain via MCP

Follow these steps to integrate the Google Ads MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from Google Ads via MCP

Why Use LangChain with the Google Ads MCP Server

LangChain provides unique advantages when paired with Google Ads through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Google Ads MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Google Ads queries for multi-turn workflows

Google Ads + LangChain Use Cases

Practical scenarios where LangChain combined with the Google Ads MCP Server delivers measurable value.

RAG with live data: combine Google Ads tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Google Ads, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Google Ads tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Google Ads tool call, measure latency, and optimize your agent's performance

Google Ads MCP Tools for LangChain (8)

These 8 tools become available when you connect Google Ads to LangChain via MCP:

get_account_budget

Get account budget info

get_campaign

Get campaign performance details

get_performance_report

Get daily performance report

list_ad_groups

List ad groups in a campaign

list_ads

List ads in an ad group

list_campaigns

List all Google Ads campaigns

list_conversion_actions

List conversion tracking actions

list_keywords

List keywords in a campaign

Example Prompts for Google Ads in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Google Ads immediately.

"What's my Google Ads spend and ROAS this month?"

"Which keywords have the lowest quality score?"

"Pause all shopping campaigns with ROAS below 2x."

Troubleshooting Google Ads MCP Server with LangChain

Common issues when connecting Google Ads to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Google Ads + LangChain FAQ

Common questions about integrating Google Ads MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.