Google Ads MCP Server for LangChain 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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 (12)
These 12 tools become available when you connect Google Ads to LangChain via MCP:
get_account_summary
Get an overview of the account performance
get_ad_performance
Get performance metrics for ads in an ad group
get_campaign_details
Get detailed settings for a campaign
get_campaign_report
Fetch performance metrics for campaigns
get_change_status
Check recent changes in the account
get_keyword_performance
Get performance metrics for keywords in an ad group
list_accessible_customers
List accessible Google Ads customer accounts
list_ad_groups
List ad groups within a campaign
list_ads
List ads within an ad group
list_budgets
List account budgets
list_campaigns
List all Google Ads campaigns
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.
"List all my active campaigns and their current status."
"How many clicks and conversions did we get in the last 7 days?"
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGoogle Ads + LangChain FAQ
Common questions about integrating Google Ads MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Google Ads with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
