How to Use the Veraset MCP in Google ADK

Q: How do I check if my Veraset query is complete using Google ADK?

Call getquerystatus. This tool checks the progress of your running SQL task and provides an update on whether it's ready for results.

Q: Can my agent list all available datasets using Google ADK?

Absolutely. Use listmobilitydatasets. This gives your agent a complete list of accessible dataset IDs in Veraset to work with.

Q: If I need to download results from a query using Google ADK, what should I do?

First, use getqueryresults for the data. If you need a raw file download, run generatedownloadlink. This process makes sure your agent gets everything it needs.

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Setup Veraset with Google ADK

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Execute and Manage SQL Queries

The `execute_sql_query` tool starts a new SQL task against a specified dataset ID, returning a query ID. You can monitor this task's progress using `get_query_status`. When the work is done, you pull all the result rows with `get_query_results`, and it supports pagination. If the process stalls or gives bad data, use `cancel_running_query` to abort a currently executing SQL task. This lets your agent stop any query that isn't performing as expected.

Inspect Mobility Datasets

Start by listing what datasets are available using `list_mobility_datasets`. After selecting one, check its column definitions and types with `get_dataset_schema`. For a quick look at the data content, run `get_dataset_sample`. Need deeper technical details? Use `get_dataset_metadata` to retrieve full metadata for the specific dataset. You can also see where scheduled drops land by listing S3 prefixes via `list_s3_delivery_folders`.

Handle Data Downloads and Output

When your query results are ready, you use `get_query_results` to pull the final data. If the output needs to live in S3, `generate_download_link` creates a temporary pre-signed URL for your agent to download it. It's also useful to know what kind of data is available; running `list_mobility_datasets` gives you the names and IDs needed for all subsequent actions.

Setup guide

Set up Veraset 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 Veraset 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="Veraset_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Veraset tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Veraset MCP in Google ADK

Call `get_query_status`. This tool checks the progress of your running SQL task and provides an update on whether it's ready for results.

Veraset manages mobility datasets. Your agent interacts with geospatial and structured information housed in these specific datasets, running complex SQL against them.

Absolutely. Use `list_mobility_datasets`. This gives your agent a complete list of accessible dataset IDs in Veraset to work with.

First, use `get_query_results` for the data. If you need a raw file download, run `generate_download_link`. This process makes sure your agent gets everything it needs.

Veraset manages mobility datasets. The schema provides detailed column definitions and various data types related to movement, making the analytics precise.

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