Bring Amazing Marvin
to Google ADK
Learn how to connect Amazing Marvin to Google ADK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Amazing Marvin MCP Server?
What you can do
Integrate the power of Amazing Marvin directly into your favorite AI Agents. This server enables your agents to:
- Create and Update Tasks: Quickly add new tasks or modify existing ones without leaving your interface.
- Organize Projects & Categories: Create structured categories and projects to keep your workspace tidy.
- Track Your Time: Start and stop time trackers directly via AI to maintain perfect logs.
- Daily Overview: Retrieve all items scheduled for today so your agent can brief you seamlessly.
How it works
1. Get your Token: Navigate to your Amazing Marvin API settings and copy your unique token.
2. Connect: Input the token into your Vinkius environment.
3. Use the Agent: Start managing your entire day using natural language!
Who is this for?
This integration is perfect for founders, developers, and project managers who want to automate their daily workflow, offload task management to AI, and never miss a beat when it comes to time tracking and organizing their Amazing Marvin workspace.
Built-in capabilities (9)
Add a new category to Amazing Marvin
Add a new project to Amazing Marvin
You can optionally specify a parent category/project ID and a date (YYYY-MM-DD) for when the task is scheduled. Add a new task to Amazing Marvin
If no ID is given, it might fetch the root items. Get tasks and sub-categories inside a category or project
Get tasks scheduled for today in Amazing Marvin
Mark a task as completed in Amazing Marvin
Start time tracking for a task in Amazing Marvin
Stop the currently running time tracker in Amazing Marvin
You can change its title, scheduled day, or done status. Update an existing task in Amazing Marvin
Why Google ADK?
Google ADK natively supports Amazing Marvin as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 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 Amazing Marvin
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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 Amazing Marvin tools with BigQuery, Vertex AI, and Cloud Functions
Amazing Marvin in Google ADK
Amazing Marvin and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Amazing Marvin 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 Amazing Marvin in Google ADK
The Amazing Marvin 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 9 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
Amazing Marvin for Google ADK
Every tool call from Google ADK to the Amazing Marvin MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can the AI Agent start a time tracker for a specific task?
Yes! The agent can start and stop the time tracker for any task if you provide the task ID.
Is it possible to assign tasks to specific dates?
Yes, the agent can schedule tasks to specific days by passing the 'day' parameter (e.g., '2024-10-31').
Does the agent manage both categories and projects?
Absolutely. It can create new categories or projects and organize them by assigning parent IDs.
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