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Atlas MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

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="atlas_agent",
    instruction=(
        "You help users interact with Atlas "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Atlas
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Atlas MCP Server

The Atlas MCP Server provides a seamless natural language interface to your Atlas.so customer support platform. Empower your AI agent to manage your entire support operation, from ticket auditing to customer oversight and knowledge base access.

Google ADK natively supports Atlas as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Key Features

  • Ticket Management — List all active support tickets, retrieve detailed conversation metadata, and create new tickets directly from your chat.
  • Customer Oversight — Access and manage your customer database, including names, emails, and internal IDs.
  • Knowledge Base Access — List help center articles to provide accurate information based on your organization's documentation.
  • Team Monitoring — View a list of team users (agents) to understand your support capacity.
  • Real-time Support Analytics — Quickly audit active conversations and customer needs using simple natural language commands.
  • Secure API Integration — Uses your Atlas.so API Token for safe and authenticated access to your support data.

The Atlas MCP Server exposes 8 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 Atlas to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from Atlas via MCP

Why Use Google ADK with the Atlas MCP Server

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

01

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

02

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

03

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

04

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

Atlas + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Atlas MCP Tools for Google ADK (8)

These 8 tools become available when you connect Atlas to Google ADK via MCP:

01

create_ticket

Create a new support ticket

02

get_account_check

Verify Atlas account connection

03

get_customer

Get details for a specific customer

04

get_ticket

Get details for a specific ticket

05

list_articles

List help center articles

06

list_customers

List all customers in Atlas

07

list_tickets

List all support tickets in Atlas

08

list_users

List team users (agents)

Example Prompts for Atlas in Google ADK

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

01

"List all active support tickets in Atlas."

02

"Show me the details for ticket ID 'tick_12345'."

03

"Find all help articles related to 'Pricing'."

Troubleshooting Atlas MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Atlas + Google ADK FAQ

Common questions about integrating Atlas MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Atlas to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.