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 LlamaIndex 8 tools — connect in under 2 minutes

Name: Google Ads
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Google Ads as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Google Ads. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Google Ads?"
    )
    print(response)

asyncio.run(main())

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About Google Ads MCP Server

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

LlamaIndex agents combine Google Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from Google Ads

Why Use LlamaIndex with the Google Ads MCP Server

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

Data-first architecture: LlamaIndex agents combine Google Ads tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Google Ads tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Google Ads, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Google Ads tools were called, what data was returned, and how it influenced the final answer

Google Ads + LlamaIndex Use Cases

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

Hybrid search: combine Google Ads real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Google Ads to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Google Ads for fresh data

Analytical workflows: chain Google Ads queries with LlamaIndex's data connectors to build multi-source analytical reports

Google Ads MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Google Ads to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Google Ads + LlamaIndex FAQ

Common questions about integrating Google Ads MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Google Ads tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.