How to Use the Cordial MCP in Google ADK

Q: Can I use Gemini's long context to analyze Cordial campaigns in Google ADK?

Yes, you can fetch extensive campaign histories with listmarketingcampaigns and feed the entire payload to Gemini. The model easily processes the large text blocks to find performance trends.

Q: Where is my Cordial custom attribute and list membership data processed?

Your custom attributes and list memberships retrieved by getsubscriberprofile are transmitted over encrypted channels. We use an ephemeral, isolated MCP sandbox to run the server, ensuring your customer data is never written to disk or used for training.

Query Cordial subscriber lists and run Gemini-powered marketing campaigns directly from your Google ADK environment.

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Connect Cordial MCP to Google ADK

Create your Vinkius account to connect Cordial 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 Cordial with Google ADK

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BigQuery Marketing Analysis via Google ADK

Combine your enterprise data warehouse with live marketing execution. Your Gemini agent can analyze historical purchase trends in BigQuery, then use `list_audience_segments` to find matching lists inside Cordial. The agent can immediately update those targeted groups. By using this MCP Server to call `upsert_subscriber` directly from the Google ADK workflow, you bridge the gap between cold database storage and active messaging.

Long-Context Campaign Auditing with this MCP Server

Gemini's massive token window allows you to feed months of Cordial campaign data into a single prompt. The Google ADK agent uses `list_marketing_campaigns` and `list_messages` to pull all active templates and performance metrics into its context. This lets the agent perform deep audits of your messaging strategy. It can compare old transactional templates against current performance without losing track of details.

Automated Contact Syncing with Vertex AI

Keep your cloud database and your Cordial platform in lockstep. The Google ADK agent can query `list_contacts` to find out who opted out, then write those updates back to your Google Cloud database. It also pulls custom metadata via `list_supplementary_data`. This ensures that any personalized tables used for email generation match your enterprise customer profiles exactly.

Setup guide

Set up Cordial 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 Cordial 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="Cordial_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cordial tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Cordial MCP in Google ADK

You initialize the MCP toolset using the streamable HTTP server parameters in your Python code. Once registered, your Gemini agent can call tools like `list_contacts` to inspect active Cordial subscribers.

Yes, you can fetch extensive campaign histories with `list_marketing_campaigns` and feed the entire payload to Gemini. The model easily processes the large text blocks to find performance trends.

Vinkius manages the MCP Server connection securely, giving your agent a single endpoint token. This means your Google ADK code doesn't need to store or expose raw API keys to run `get_account_details`.

Yes, the toolset configuration allows you to pass a specific list of allowed tool names. You can restrict the agent to read-only tools like `get_subscriber_profile` and block write actions.

Your custom attributes and list memberships retrieved by `get_subscriber_profile` are transmitted over encrypted channels. We use an ephemeral, isolated MCP sandbox to run the server, ensuring your customer data is never written to disk or used for training.

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