How to Use the idloom MCP in Google ADK

Q: How do I connect idloom to my Google ADK agent?

Use the McpToolset class with the server's HTTP endpoint URL and pass it to your LlmAgent. This exposes the entire suite of 10 tools, including listevents and getattendee, to your Gemini model.

Q: Can I use this MCP Server with BigQuery and Google ADK?

Yes, you can build an agent that pulls data using listtransactions and writes the structured results directly to a BigQuery table. This setup makes it easy to build automated dashboard pipelines for event revenue.

Q: Does Google ADK support filtering specific idloom tools?

You can use the toolnames parameter to restrict which tools are exposed to the agent. For example, you can expose only listevents and listcategories while hiding financial endpoints like listinvoices.

Run Gemini-powered Google ADK agents using this MCP Server to analyze idloom registration data and sync event transactions.

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Connect idloom MCP to Google ADK

Create your Vinkius account to connect idloom 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 idloom with Google ADK

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Analyze Mass Registrations in Gemini Long Context

The `list_attendees` and `list_categories` tools load registration profiles and ticket classifications directly into Gemini's massive context window. Your agent processes thousands of guest profiles simultaneously to extract demographic trends or group attendees by ticket type. This MCP Server bypasses the typical token limits that restrict older LLM frameworks. You can feed entire attendee lists straight to your agent for instant, high-density analysis without chunking data.

Sync idloom Financial Records with Google ADK

The `list_invoices` and `list_transactions` tools pull raw billing data and payment records for immediate enterprise ledger reconciliation. Your agent cross-references these records against external databases or updates internal Google Cloud SQL tables to maintain financial consistency. Because the framework runs natively within Google Cloud, you can trigger these audits via Cloud Functions. The agent handles the API calls, cleans the payload, and outputs structured JSON ready for BigQuery ingestion.

Audit Event Communications and Forms

The `list_emails` and `list_registration_forms` tools inspect outgoing communications and active registration layouts to verify attendee touchpoints. Your agent reviews email delivery logs to identify bounced invitations or checks registration form fields to ensure compliance with event branding. You keep your communication loops tight and error-free. The agent flags missing fields in active forms or highlights failed email delivery attempts before your event starts.

Setup guide

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

Use the `McpToolset` class with the server's HTTP endpoint URL and pass it to your `LlmAgent`. This exposes the entire suite of 10 tools, including `list_events` and `get_attendee`, to your Gemini model.

Yes, you can build an agent that pulls data using `list_transactions` and writes the structured results directly to a BigQuery table. This setup makes it easy to build automated dashboard pipelines for event revenue.

You can use the `tool_names` parameter to restrict which tools are exposed to the agent. For example, you can expose only `list_events` and `list_categories` while hiding financial endpoints like `list_invoices`.

The server supports both Stdio and HTTP transports. For Google Cloud deployments, the HTTP transport is recommended to connect your serverless agents to the idloom API.

Your data travels directly between the idloom API and your Google Cloud environment via secure, encrypted TLS connections. The Vinkius runtime executes in a zero-trust sandbox, meaning no attendee details or invoice records are cached or saved.

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