How to Use the Jebbit MCP in Google ADK

Q: Is Jebbit compatible with my Google ADK setup?

Yes, you use the McpToolset to mount the server to your Google ADK agent. This allows your agent to call tools like listusers and listcampaigns as native functions.

Q: Can I filter which Jebbit tools my Google ADK agent uses?

You can use the toolnames filter when initializing the toolset in Google ADK. This restricts the agent to only the tools you want it to access, such as getaccount or listsegments.

Connect Jebbit to your Google ADK infrastructure. Push zero-party data into your enterprise agent pipelines on Google Cloud.

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Connect Jebbit MCP to Google ADK

Create your Vinkius account to connect Jebbit 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 Jebbit with Google ADK

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Sync Jebbit experiences with Google ADK

Use your Google ADK agents to pull data from your interactive campaigns. The `list_experiences` tool lets your agent index what is live, while `get_experience` pulls the necessary details to inform your agent's reasoning. This is perfect for agents managing high-volume consumer interactions. You get the data where you need it without building custom API wrappers.

Verify Jebbit data flow in Google ADK

Your agent can audit the health of your integrations using `list_webhooks`. If you need to see how your data is moving, `list_integrations` provides a clear view of your active connections. This visibility ensures your enterprise agent setup isn't missing events. It keeps your data pipeline predictable and easy to manage from your terminal.

Access Jebbit reporting via Google ADK

Monitor your data jobs directly from your agent interface. Use `list_reporting_jobs` to check the status of your data pulls and verify that your pipelines are processing correctly. By automating this check, you reduce the time spent manually verifying job completions. Your agent stays updated on the state of your data exports.

Setup guide

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

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Common questions about Jebbit MCP in Google ADK

Yes, you use the `McpToolset` to mount the server to your Google ADK agent. This allows your agent to call tools like `list_users` and `list_campaigns` as native functions.

You can use the tool_names filter when initializing the toolset in Google ADK. This restricts the agent to only the tools you want it to access, such as `get_account` or `list_segments`.

The server supports both Stdio and HTTP transports. You define your connection parameters in the `StreamableHttpServerParameters` object when setting up your toolset.

Yes, the tools return standard JSON payloads. Your agent can parse these directly, allowing it to reason over `list_attributes` results and segment data effectively.

The server uses a single endpoint token to authenticate your requests. This keeps your sensitive zero-party data access strictly contained within your authorized Google Cloud agent execution context.

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