Where do I find my AfterLogic API URL?

The Web API endpoint is typically your Aurora installation URL followed by `/?/Api/`. The REST Admin API endpoint is your URL followed by `/rest.php/`. Consult your system administrator for the specific base path.

Can I check if an email account exists?

Yes! Use the `check_account_exists` tool. It uses the REST Admin API to verify if a specific email address is registered on your server.

Does this support sending emails?

Yes, you can use the `send_message` tool to compose and send emails via the Web API on behalf of an authenticated user.

AfterLogic Aurora MCP Server for Google ADK 5 tools — connect in under 2 minutes

Name: AfterLogic Aurora
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 5 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AfterLogic Aurora as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="afterlogic_aurora_agent",
    instruction=(
        "You help users interact with AfterLogic Aurora "
        "using 5 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About AfterLogic Aurora MCP Server

Connect your AfterLogic Aurora account to your AI agent to unlock professional email and webmail orchestration. From managing complex mail folder structures to retrieving message lists and handling administrative account tasks, your agent handles your communication platform through natural conversation.

Google ADK natively supports AfterLogic Aurora as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Mail Orchestration — List and manage email folders and retrieve message lists for any account
Administrative Management — Check if accounts exist and manage domains or users via the REST Admin API
Communication Flow — Send and retrieve technical metadata for emails to support your communication workflows
Integration Support — Access both the Web API for user-level tasks and the REST API for system-wide administration
Status Monitoring — Quickly audit mail server availability and account statuses directly from your chat interface

The AfterLogic Aurora MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect AfterLogic Aurora to Google ADK via MCP

Follow these steps to integrate the AfterLogic Aurora MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 5 tools from AfterLogic Aurora via MCP

Why Use Google ADK with the AfterLogic Aurora MCP Server

Google ADK provides unique advantages when paired with AfterLogic Aurora through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with AfterLogic Aurora

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine AfterLogic Aurora tools with BigQuery, Vertex AI, and Cloud Functions

AfterLogic Aurora + Google ADK Use Cases

Practical scenarios where Google ADK combined with the AfterLogic Aurora MCP Server delivers measurable value.

Enterprise data agents: ADK agents query AfterLogic Aurora and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine AfterLogic Aurora tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query AfterLogic Aurora regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AfterLogic Aurora

AfterLogic Aurora MCP Tools for Google ADK (5)

These 5 tools become available when you connect AfterLogic Aurora to Google ADK via MCP:

check_account_exists

Requires Admin rights. Verify if an email address is actively provisioned on the AfterLogic server

list_domains

Requires Admin rights. Retrieve all active custom domains mapped to the AfterLogic server instance

list_folders

Retrieve the internal email folder hierarchy for the authenticated AfterLogic user

list_messages

Requires a folder path from list_folders. Retrieve recent emails contained within a specified AfterLogic mail folder

send_email

Compose and send an outbound email securely via the AfterLogic Web API

Example Prompts for AfterLogic Aurora in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with AfterLogic Aurora immediately.

"List all mail folders for user 'admin@example.com'."

"Check if the account 'user1@example.com' exists on the server."

"Show me the last 10 messages in the INBOX."

Troubleshooting AfterLogic Aurora MCP Server with Google ADK

Common issues when connecting AfterLogic Aurora to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

AfterLogic Aurora + Google ADK FAQ

Common questions about integrating AfterLogic Aurora MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.