How to Use the LinkedIn Ads MCP in Google ADK

Q: Can I use the Google ADK to export LinkedIn Ads data to BigQuery?

Yes, you can build an agent that pulls data using getadanalytics and writes it directly to BigQuery. The Google ADK makes it easy to bridge this MCP Server with your existing Google Cloud databases.

Q: How do I configure this LinkedIn Ads MCP Server in my Google ADK pipeline?

You initialize the server using McpToolset with the Vinkius HTTP URL. You can then pass this toolset directly to your LlmAgent in your Python code, allowing Gemini to call tools like listadcampaigns automatically.

Q: Does the Google ADK support filtering specific LinkedIn Ads tools?

Yes. The McpToolset in the Google ADK has an optional tool filter. If you only want your Gemini agent to read data, you can restrict it to getadanalytics and block access to other tools.

Connect LinkedIn Ads data directly to Gemini and BigQuery using the Google ADK.

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Connect LinkedIn Ads MCP to Google ADK

Create your Vinkius account to connect LinkedIn Ads to Google ADK 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 LinkedIn Ads with Google ADK

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Feed Google ADK and Gemini live metrics

Use this MCP Server to pull massive performance histories via `get_ad_analytics` and feed them directly to Gemini. The Google ADK lets your agent analyze months of impressions, spend, and click data in a single turn. No pre-summarizing required; let Gemini find the patterns itself.

Cross-reference campaigns with BigQuery data

Your agent calls `list_ad_accounts` and `list_ad_campaigns` to match external CRM data with live LinkedIn structures inside the Google ADK. This makes it easy to spot discrepancies between what LinkedIn reports and what your backend database shows. The agent queries both systems and highlights where your attribution is failing.

Map conversion rules to marketing funnels

Your agent calls `list_conversion_rules` and `list_ad_creatives` to build a complete visual map of your lead funnel. Because the Google ADK integrates deeply with Vertex AI, you can automate complex reasoning tasks. The agent evaluates if your creative copy matches the specific conversion event it is supposed to trigger.

Setup guide

Set up LinkedIn Ads MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with LinkedIn Ads tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="LinkedIn Ads_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LinkedIn Ads tools via MCP.",
    tools=mcp_tools,
)

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Common questions about LinkedIn Ads MCP in Google ADK

Yes, you can build an agent that pulls data using `get_ad_analytics` and writes it directly to BigQuery. The Google ADK makes it easy to bridge this MCP Server with your existing Google Cloud databases.

You initialize the server using `McpToolset` with the Vinkius HTTP URL. You can then pass this toolset directly to your `LlmAgent` in your Python code, allowing Gemini to call tools like `list_ad_campaigns` automatically.

Yes. The `McpToolset` in the Google ADK has an optional tool filter. If you only want your Gemini agent to read data, you can restrict it to `get_ad_analytics` and block access to other tools.

Gemini's massive context window easily handles large JSON payloads. When the MCP Server returns data from `list_campaign_groups`, Gemini reads the entire structure to understand your account hierarchy without losing track of details.

The Vinkius MCP Server runs in an ephemeral V8 sandbox that only handles live transit of your campaign metrics and conversion rules. No marketing data is stored, keeping your enterprise pipeline secure and compliant.

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