Bring Ticketing System
to Google ADK
Learn how to connect Atlas to Google ADK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
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What is the 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.
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.
Who is this for?
- Support Leads — Quickly check ticket statuses and team activity without navigating complex web dashboards.
- Product Managers — Review recent customer tickets and feedback regarding specific features or updates.
- Customer Success Managers — Retrieve customer history and help articles to provide better assistance during client interactions.
Built-in capabilities (8)
Create a new support ticket
Verify Atlas account connection
Get details for a specific customer
Get details for a specific ticket
List help center articles
List all customers in Atlas
List all support tickets in Atlas
List team users (agents)
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Atlas
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Atlas tools with BigQuery, Vertex AI, and Cloud Functions
Atlas in Google ADK
Atlas and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Atlas to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Atlas in Google ADK
The Atlas 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Atlas for Google ADK
Every tool call from Google ADK to the Atlas MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Atlas.so API Token?
Log in to your Atlas dashboard, go to App Configuration > Data > API, and you will find your API Token there.
Can I see help center articles via this server?
Yes, use the list_articles tool to retrieve a list of articles from your Atlas help center.
How are customer IDs handled?
Atlas uses unique internal IDs for customers. You can discover these IDs by using the list_customers tool or searching for a specific customer by email.
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.
McpToolset not found
Update: pip install --upgrade google-adk