2,500+ MCP servers ready to use
Vinkius

Google Ads MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

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

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": {
            "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())
Google Ads
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 your Google Ads account to your AI agent and gain real-time visibility into your advertising performance. Use natural language to audit campaigns, analyze keyword efficiency, and retrieve performance reports across your entire account.

LangChain's ecosystem of 500+ components combines seamlessly with Google Ads through native MCP adapters. Connect 12 tools via 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 Monitoring — List all active campaigns, check their status, and deep-dive into specific configuration settings
  • Ad Group & Ad Analysis — Explore ad groups and individual ads to understand your account structure and creative performance
  • Performance Reporting — Fetch detailed metrics (clicks, impressions, cost, conversions) for any date range through simple queries
  • Keyword Insights — Search for specific keywords and analyze their individual performance metrics to optimize your bidding strategy
  • Account Overviews — Get a high-level summary of your account's health and budget consumption across all accessible customers

The Google Ads MCP Server exposes 12 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.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 12 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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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 (12)

These 12 tools become available when you connect Google Ads to LangChain via MCP:

01

get_account_summary

Get an overview of the account performance

02

get_ad_performance

Get performance metrics for ads in an ad group

03

get_campaign_details

Get detailed settings for a campaign

04

get_campaign_report

Fetch performance metrics for campaigns

05

get_change_status

Check recent changes in the account

06

get_keyword_performance

Get performance metrics for keywords in an ad group

07

list_accessible_customers

List accessible Google Ads customer accounts

08

list_ad_groups

List ad groups within a campaign

09

list_ads

List ads within an ad group

10

list_budgets

List account budgets

11

list_campaigns

List all Google Ads campaigns

12

search_keywords

Search for keywords and their performance

Example Prompts for Google Ads in LangChain

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

01

"List all my active campaigns and their current status."

02

"How many clicks and conversions did we get in the last 7 days?"

03

"Show me the top performing keywords in ad group 93021."

Troubleshooting Google Ads MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Google Ads + LangChain FAQ

Common questions about integrating Google Ads MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Google Ads to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.