How to Use the Dialog Insight MCP in Google ADK

Q: How do I initialize the Dialog Insight MCP Server in Google ADK?

Use McpToolset with StreamableHttpServerParameters pointing to your Vinkius URL. Pass this toolset into your LlmAgent configuration to make all ten tools available to Gemini.

Q: Can Google ADK use Dialog Insight to segment my audience?

Yes, the agent calls listaudiencesegments to see your current targeting groups. It can then assign contacts to those segments based on their engagement history.

Q: How does Google ADK handle rate limits with the Dialog Insight MCP Server?

The agent uses getaccountmetadata to check your organization's API limits. You can instruct the agent to back off if it detects it is close to your subscription thresholds.

Q: Can I restrict which tools my Google ADK agent can access?

Yes. Use the toolnames parameter in your toolset configuration to restrict access. For example, you can limit the agent to only searchcontactsbyemail and getcontactprofile.

Feed Dialog Insight data directly into your Google ADK pipelines to analyze campaigns with long-context Gemini models.

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Connect Dialog Insight MCP to Google ADK

Create your Vinkius account to connect Dialog Insight 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 Dialog Insight with Google ADK

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Analyze large marketing lists using the MCP Server

The `list_marketing_contacts` tool fetches your entire contact list and passes it directly to Gemini's million-token context window. This allows your Google ADK agent to find patterns across thousands of records without pagination issues. You configure this using the `McpToolset` class, which exposes the tool to your agent via HTTP. The agent reads the raw contact records and can immediately flag formatting errors or missing fields.

Connect BigQuery data to Dialog Insight campaigns

The `add_new_marketing_contact` tool lets your Google ADK agent write fresh leads from BigQuery straight to your marketing platform. The agent queries your warehouse, formats the payload, and executes the write in one step. To keep things secure, you can use the `tool_names` filter to only expose this specific write tool. This prevents the agent from accidentally calling destructive operations while running automated syncs.

Monitor marketing performance inside Google ADK

The `get_campaign_performance` tool retrieves click and open metrics for your active email and SMS campaigns. Your Gemini agent parses this data to find which subject lines drove the most conversions. By combining this with `list_high_performing_campaigns`, your agent can automatically generate reports. It compares real-time performance against historical baselines stored in your Google Cloud infrastructure.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dialog Insight. 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 Dialog Insight MCP in Google ADK

Use `McpToolset` with `StreamableHttpServerParameters` pointing to your Vinkius URL. Pass this toolset into your `LlmAgent` configuration to make all ten tools available to Gemini.

Yes, the agent calls `list_audience_segments` to see your current targeting groups. It can then assign contacts to those segments based on their engagement history.

The agent uses `get_account_metadata` to check your organization's API limits. You can instruct the agent to back off if it detects it is close to your subscription thresholds.

Yes. Use the `tool_names` parameter in your toolset configuration to restrict access. For example, you can limit the agent to only `search_contacts_by_email` and `get_contact_profile`.

Data stays in transition within the ephemeral V8 sandbox. Vinkius processes the campaign metrics in memory through the MCP connection and never writes them to persistent storage, keeping your marketing data private.

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