How to Use the Delta Projects MCP in Google ADK
Feed Delta Projects ad metrics directly into your Google ADK agents for long-context Gemini analysis.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Delta Projects MCP to Google ADK
Create your Vinkius account to connect Delta Projects 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.
Long-Context Ad Analysis
Gemini models thrive on massive amounts of context. Connect this Delta Projects MCP Server to your Google ADK setup, and your agent can pull hundreds of active ads using `list_running_campaigns`. It swallows the entire dataset without hitting token limits. From there, the agent can cross-reference those active ads against available assets using `list_ad_creatives`. It reads the metadata, spots mismatched banners, and flags issues across your entire programmatic portfolio in a single pass.
Google ADK Pipeline Integration
Enterprise teams already have their marketing data in Google Cloud. When your agent fetches specific metrics via `get_campaign_performance`, it can format that data and push it straight into BigQuery. You skip the manual export process entirely. The agent uses `list_managed_advertisers` to iterate through your client list. It grabs custom dimensions for each advertiser using `get_custom_ad_report` via the MCP Server and builds a structured dataset ready for Vertex AI predictive modeling.
Audience and Placement Verification
Wasted ad spend usually comes down to bad targeting. Your Gemini agent checks `list_target_audiences` to see exactly who your campaigns are reaching. It then cross-checks those audiences against the actual delivery sites found via `list_media_placements`. You configure the `McpToolset` with your Vinkius HTTP endpoint, and the agent gets to work. If you only want the agent doing read-only audits, use the `tool_names` filter to restrict access to specific reporting endpoints.
Set up Delta Projects 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 Delta Projects 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="Delta Projects_agent",
model="gemini-2.0-flash",
instruction="You have access to Delta Projects 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 Delta Projects. 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.
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Common questions about Delta Projects MCP in Google ADK
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