Google Ads MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 12 tools available."
),
)
response = await agent.run(
"What tools are available in Google Ads?"
)
print(response)
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.
LlamaIndex agents combine Google Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 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 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 12 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 (12)
These 12 tools become available when you connect Google Ads to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Google Ads to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoogle Ads + LlamaIndex FAQ
Common questions about integrating Google Ads MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.