How to Use the Basin MCP in Google ADK

Q: Can Google ADK read specific Basin forms?

The agent calls listforms to find the correct ID, then uses getform to read its configuration. It knows exactly which fields to expect before pulling the actual submissions.

Q: How do I test the Basin MCP connection in Google ADK?

Ask your agent to run the getaccountcheck tool. It returns a success message if the auth token and endpoint are valid.

Bring Basin form data into Google ADK to filter spam and process lead submissions using Gemini's massive context window.

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Connect Basin MCP to Google ADK

Create your Vinkius account to connect Basin 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 Basin with Google ADK

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Ingest Leads at Scale

You fetch lead data from Basin using the `list_form_submissions` and `get_submission` tools. Your Google ADK agent pulls raw form entries and feeds them directly into Gemini for analysis. Thanks to Gemini's 1M+ token context window, you can dump thousands of submissions into a single prompt. The agent reads the entire batch, identifies trends, and prepares the data for export into BigQuery.

Filter Form Spam

Fighting form spam relies on the `mark_as_spam` and `update_submission` tools. You write a prompt that spots generic pitch emails, and the agent flags them automatically. If a legitimate user gets caught in the filter, the `mark_as_not_spam` tool restores their entry. The agent handles this triage in the background while your team focuses on real prospects.

Route Leads via MCP Server

Pushing leads to external systems through this MCP Server uses the `refire_webhooks` command. An LlmAgent evaluates a new entry, decides it meets your enterprise criteria, and triggers the webhook to send it to Vertex AI or your custom CRM. Cleaning up old records is just as straightforward. The agent can run `delete_submission` on stale or rejected leads after ensuring the useful data already synced to your Google Cloud infrastructure.

Setup guide

Set up Basin 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 Basin 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="Basin_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Basin 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 Basin. 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 Basin MCP in Google ADK

Install google-adk and set up an McpToolset pointing to your Basin endpoint. Pass that toolset into your LlmAgent initialization.

The agent calls list_forms to find the correct ID, then uses get_form to read its configuration. It knows exactly which fields to expect before pulling the actual submissions.

Yes. Your Gemini agent evaluates the incoming text and executes mark_as_spam on anything that looks like junk.

Ask your agent to run the get_account_check tool. It returns a success message if the auth token and endpoint are valid.

Every request runs inside a zero-trust sandbox. The names, emails, and phone numbers from your leads pass through an ephemeral environment that destroys itself after the tool execution finishes.

Use it with your favorite AI tools

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