How to Use the Outseta MCP in Google ADK

Q: How do I configure Outseta with Google ADK?

You instantiate McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent tools list. This exposes all twelve billing and CRM tools to Gemini. You can also use the toolnames filter to restrict access to specific operations.

Q: Can Google ADK write data back to Outseta?

Yes, your agent can call createperson or createticket to modify your workspace. This allows your Google Cloud pipelines to trigger CRM updates based on external database events.

Power your enterprise billing and CRM workflows inside Google ADK using Gemini's massive context window.

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Connect Outseta MCP to Google ADK

Create your Vinkius account to connect Outseta 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 Outseta with Google ADK

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Sync Outseta accounts with Google ADK

The `list_accounts` and `get_account` tools let your Gemini-powered agent pull corporate billing profiles directly into your enterprise workflow. Your agent can cross-reference these real-time accounts with legacy warehouse data stored in BigQuery. This setup uses `StreamableHttpServerParameters` to connect this MCP Server to your `LlmAgent`. Honestly, it's the fastest way to sync your operational CRM with your analytics stack.

Analyze support histories using this MCP Server

The `list_tickets` and `list_activities` tools allow Gemini's million-token window to process years of customer interactions in a single prompt. Your agent reads the entire history to identify recurring issues or product friction points. You pass the toolset directly to your agent constructor to enable this deep analysis. This workflow turns raw ticket logs into actionable product insights without manual data preparation.

Predict churn with Vertex AI

The `list_subscriptions` and `get_person` tools feed historical customer lifecycles directly into your Vertex AI machine learning models. Your agent reads subscription dates and payment histories to flag accounts showing signs of cancellation. By exposing these tools to your Google ADK agent, you automate proactive outreach before customers churn. You get a closed-loop retention system operating natively on Google Cloud.

Setup guide

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

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Common questions about Outseta MCP in Google ADK

You instantiate `McpToolset` with your Vinkius HTTP URL and pass it to your `LlmAgent` tools list. This exposes all twelve billing and CRM tools to Gemini. You can also use the `tool_names` filter to restrict access to specific operations.

Yes, your agent can call `create_person` or `create_ticket` to modify your workspace. This allows your Google Cloud pipelines to trigger CRM updates based on external database events.

Yes, this MCP Server integration supports both Stdio and HTTP transport protocols. For cloud deployments on Cloud Run, we recommend using the streamable HTTP transport.

Gemini uses its native long-context reasoning to select the correct MCP tool, like `get_user_profile` or `list_plans`, based on your prompt. The model maps your natural language requests to the exact API parameters required by the server.

Your billing invoices and subscription details are processed in memory within secure, ephemeral V8 isolates. No financial data is ever cached or written to persistent storage on the Vinkius platform. This ensures your enterprise billing records remain strictly confidential.

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