Atlas MCP Server for Google ADK 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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],
)
* 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.
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 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.
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 Atlas
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 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.
Enterprise data agents: ADK agents query Atlas and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Atlas tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Atlas regularly and flag policy violations or configuration drift
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:
create_ticket
Create a new support ticket
get_account_check
Verify Atlas account connection
get_customer
Get details for a specific customer
get_ticket
Get details for a specific ticket
list_articles
List help center articles
list_customers
List all customers in Atlas
list_tickets
List all support tickets in Atlas
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.
"List all active support tickets in Atlas."
"Show me the details for ticket ID 'tick_12345'."
"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.
McpToolset not found
pip install --upgrade google-adkAtlas + Google ADK FAQ
Common questions about integrating Atlas MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Atlas with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
