Bring Model Deployment
to Google ADK
Create your Vinkius account to connect Baseten to Google ADK and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Baseten MCP Server?
Connect your Baseten account to any AI agent and track, deploy, and execute your machine learning models through natural conversation.
O que você pode fazer
- Model Management — List managed models, fetch configurations, and understand active routing boundaries
- Serverless Deployments — Inspect exact replica states, autoscaling configurations, and deployment versions
- Inference Execution — Run direct predictions (
predict) pushing tensor payloads or JSON directly to GPU weights - Workspace Secrets — Enumerate active environment secrets securely mapped inside the isolated orchestration ecosystem
Como funciona
- Subscribe to this server
- Enter your Baseten API Key
- Gain complete ML-Ops control over your active inference nodes using Claude, Cursor, or your preferred agent
Scale unified AI infrastructure without bouncing between terminal windows. Your agent becomes a capable Machine Learning Operator tracking your GPU lifecycle.
Para quem é?
- ML Engineers — execute test payloads to deployments instantaneously without spinning up local Python notebooks
- DevOps/SREs — audit running deployment resources and verify replica states reliably from your core IDE
- AI Researchers — inspect version schemas and manage inference pipeline architectures quickly
Built-in capabilities (6)
Get explicit details of a running deployment
Get a specific Baseten model
List active inferences bounds matching a specific model
List Baseten managed models
List securely managed workspace secrets without showing values
Formulate the explicit tensor shapes or dictionaries strictly matching the deployed instance. Invoke a serverless model inference prediction
Why Google ADK?
Google ADK natively supports Baseten as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 6 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
- —
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 Baseten
- —
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 Baseten tools with BigQuery, Vertex AI, and Cloud Functions
Baseten in Google ADK
Why run Baseten with Vinkius?
The Baseten connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Baseten using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Baseten and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Baseten to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Baseten for Google ADK
Every request between Google ADK and Baseten is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can the AI agent run a prediction directly against my hosted model?
Yes. By pushing a correctly formatted JSON payload to the 'predict' tool, the agent securely triggers inference on the GPU instances, returning the exact calculated response data transparently to your editor context.
Is my workspace and environmental secret data kept safe?
Baseten secret fetching natively obscures variable values. When you use 'list_secrets', the agent simply evaluates the key names and identifiers existing across your environment to verify configurations without exposing plaintext passwords.
How do I check auto-scaling configurations for an explicitly deployed model?
You can examine exactly how instances are managed by using 'get_deployment'. Tell the agent to target an active deployment ID and it maps the scaling limits, replica status, and container bounds out-of-the-box.
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
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