How to Use the Google Ads MCP in LlamaIndex

Q: Can I index Google Ads performance reports into a LlamaIndex vector store?

Yes. You can run getperformancereport and feed the resulting daily metrics directly into your LlamaIndex document store, allowing you to run semantic search over your historical Google Ads performance.

Index live Google Ads metrics directly into LlamaIndex to query your campaign performance without hallucinations.

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Connect Google Ads MCP to LlamaIndex

Create your Vinkius account to connect Google Ads to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Google Ads with LlamaIndex

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Index Google Ads campaign structures into LlamaIndex

LlamaIndex works best when it can search real Google Ads data instead of guessing. By connecting this MCP Server, your LlamaIndex agent pulls active structures using `list_campaigns` and indexes the metadata directly into your vector store. The LlamaIndex indexer maps your Google Ads marketing hierarchy by calling `list_ad_groups` alongside `list_ads`. This creates a searchable knowledge base of your active Google Ads copy and structure that your LlamaIndex query engine can instantly reference.

Ground LlamaIndex RAG pipelines in Google Ads performance data

Stop letting your LlamaIndex agent hallucinate Google Ads click-through rates. This toolset lets your LlamaIndex pipeline retrieve actual performance metrics using `get_performance_report` to ground every response in hard marketing facts. When you ask LlamaIndex about conversion efficiency, the engine queries `list_conversion_actions` to tie raw Google Ads traffic to real business outcomes. This ensures your LlamaIndex marketing summaries are backed by actual Google Ads performance history.

Audit Google Ads keyword relevancy and budget constraints

Keep your Google Ads search spend efficient by indexing your keyword lists. Your LlamaIndex agent runs `list_keywords` to analyze search term matching and flags broad-match Google Ads keywords that might be draining your daily cash. Before proposing any Google Ads strategy adjustments, the LlamaIndex system checks your financial guardrails. The agent runs `get_account_budget` and `get_campaign` to verify exactly how much room you have left under your current Google Ads caps.

Setup guide

Set up Google Ads MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Google Ads MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Google Ads tools.",
)
response = await agent.run("List recent Google Ads data")

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Common questions about Google Ads MCP in LlamaIndex

Yes. You can run `get_performance_report` and feed the resulting daily metrics directly into your LlamaIndex document store, allowing you to run semantic search over your historical Google Ads performance.

The LlamaIndex agent retrieves your active keyword list using `list_keywords` before answering. LlamaIndex uses this real-time Google Ads data as context, ensuring it only discusses keywords that are actually live.

No. This MCP Server handles the underlying Google Ads API transport. Your LlamaIndex agent simply calls the tools, and Vinkius manages the connection stability to Google Ads.

Install the MCP tool adapter and initialize the client with your server URL. You then convert the Google Ads client to a tool list and pass it directly to your LlamaIndex FunctionAgent.

Your Google Ads keywords and conversion actions are processed in ephemeral memory during the indexing run. No Google Ads tracking configurations or search queries are stored on disk, keeping your proprietary marketing data strictly private.

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