How to Use the Deta Space (Serverless Personal Cloud API) MCP in Google ADK

Q: How do I set up the Deta Space (Serverless Personal Cloud API) with my Google ADK agent?

You'll import and create an McpToolset instance, passing your Vinkius server URL to the StreamableHttpServerParameters. Then, include that toolset in the tools list when you initialize your LlmAgent.

Q: How does the Deta Space (Serverless Personal Cloud API) handle complex searches with Google ADK?

Your Gemini agent constructs a search for the basequeryitems tool using a specific JSON format. Because Gemini can handle large contexts, you can provide detailed instructions, and it will generate the correct query structure to find the Deta Base items you're looking for.

Q: Can I choose which Deta Space tools are exposed to my Google ADK agent?

Yes. When you create the McpToolset, you can use the optional toolnames filter. Just provide a list of the tool names you want to expose, like 'basegetitem', 'baseputitems', and the agent will only see those.

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Connect Deta Space (Serverless Personal Cloud API) MCP to Google ADK

Create your Vinkius account to connect Deta Space (Serverless Personal Cloud API) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Deta Space (Serverless Personal Cloud API) with Google ADK

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Store and Retrieve Deta Files

Your agent can now use Deta Drive as its own personal file system. Let's say your agent generates a report from data in BigQuery. It can use `drive_upload_file` to save that report to your Deta Space, keeping it separate from your enterprise storage. Later, a different agent can pick up that work by using `drive_download_file` to get the report for further processing. It’s a simple way to pass artifacts between tasks without cluttering up your Google Cloud Storage buckets.

Your Google ADK Agent's Database

Give your Gemini-powered agent a simple key-value database for its own operational data. Using `base_insert_item` and `base_get_item`, the agent can store configuration, cache results, or track its own state without needing a full-blown Cloud SQL instance. This is perfect for when your agent needs to remember things but you don't want to provision and manage more Google Cloud infrastructure. It's a fast, personal database that complements your existing enterprise data sources.

Search Deta Base from Gemini

Find exactly what you need in your personal cloud. The `base_query_items` tool lets your agent search Deta Base using structured queries. With Gemini's long context window, your agent can build very specific, complex queries based on a long conversation or a large document. Your agent forms the JSON query and passes it to the tool. The MCP server handles the execution against Deta Base and returns the results. This lets you use Google's powerful models to intelligently search your own personal data.

Setup guide

Set up Deta Space (Serverless Personal Cloud API) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Deta Space (Serverless Personal Cloud API) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Deta Space (Serverless Personal Cloud API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Deta Space (Serverless Personal Cloud API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Deta Space (Serverless Personal Cloud API) MCP in Google ADK

You'll import and create an `McpToolset` instance, passing your Vinkius server URL to the `StreamableHttpServerParameters`. Then, include that toolset in the `tools` list when you initialize your `LlmAgent`.

Yes, absolutely. The Google ADK is designed for this. Your agent can execute a query against BigQuery, process the results, and then use the Deta Space tools like `base_put_items` or `drive_upload_file` to save that data to your personal cloud.

Your Gemini agent constructs a search for the `base_query_items` tool using a specific JSON format. Because Gemini can handle large contexts, you can provide detailed instructions, and it will generate the correct query structure to find the Deta Base items you're looking for.

Yes. When you create the `McpToolset`, you can use the optional `tool_names` filter. Just provide a list of the tool names you want to expose, like `['base_get_item', 'base_put_items']`, and the agent will only see those.

The server interacts with your Deta Base items and Drive files. When your agent calls a tool, the request is processed in an ephemeral Vinkius sandbox that is torn down immediately after. Your data isn't stored or logged by Vinkius; it simply passes through the isolated execution environment.

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