How to Use the Moloco MCP in Google ADK
Connect Moloco to your enterprise data pipelines in the Google ADK. Automate ad ops using the full power of the Gemini ecosystem.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moloco MCP to Google ADK
Create your Vinkius account to connect Moloco 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.
Google ADK and Moloco data flow
Your agent queries `list_tracking_links` and `list_conversions` to feed attribution data into your broader Google Cloud infrastructure. This turns your ad account into a data source. Your agent can now cross-reference ad performance with your internal business metrics stored in BigQuery.
Precision campaign management
Use `get_campaign` to pull metadata into your agent's context window. Gemini uses this to reason about your campaign structure and history. This provides the agent with the necessary context to make informed decisions. It isn't just blindly following rules; it's evaluating the state of your ads.
Inventory and creative oversight
Your agent lists creative assets via `list_creative_groups` to see what is currently running. It maps these assets to their respective campaign performance. This visibility lets your agent suggest meaningful changes. You can identify which creatives underperform and move to update them immediately.
Set up Moloco MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Moloco tools in your ADK agent.
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="Moloco_agent",
model="gemini-2.0-flash",
instruction="You have access to Moloco tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moloco. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Moloco MCP in Google ADK
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