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How to Use the DOJ NCVS Crime Data MCP in Google ADK

Connect Gemini to DOJ NCVS Crime Data using Google ADK to analyze massive crime trends inside your cloud environment.

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Google ADK

Connect DOJ NCVS Crime Data MCP to Google ADK

Create your Vinkius account to connect DOJ NCVS Crime Data 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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Analyze Multi-Decade Crime Trends via Google ADK Agents

Feed decades of victimization statistics from `get_crime_by_year` directly into Gemini's one-million-token context window using Google ADK. This MCP Server integration allows Google Cloud agents to process massive chunks of historical DOJ records in a single prompt. Your Google ADK agents can find subtle shifts in household and personal safety trends over thirty years. Avoiding truncation means your Google Cloud pipeline preserves the fine details of the federal victimization dataset.

Cross-Reference BigQuery Data with DOJ NCVS Crime Data

Combine your internal regional metrics with federal stats by letting your Google ADK agent query `get_crime_by_region` alongside BigQuery datasets. The agent pulls the federal benchmarks on the fly to enrich your existing Google Cloud databases. You don't have to build custom ETL pipelines to move federal crime stats into your Google Cloud environment. Instead, the Google ADK agent handles the lookup via the MCP Server, merging the tables into clean comparative reports.

Explore NCVS Database Schemas with Google ADK Agents

Use `list_crime_attributes` to let your Gemini-powered agents discover what variables are available in this MCP Server. The Google ADK agent can inspect the attributes dynamically to build precise queries for `get_household_victimization`. Automating this process eliminates manual lookups of NCVS documentation. Your Google ADK agents map out the available crime categories and run their own data-gathering pipelines.

Setup guide

Set up DOJ NCVS Crime Data 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. 1

    Install Google ADK

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

  2. 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. 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. 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 DOJ NCVS Crime Data 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="DOJ NCVS Crime Data_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DOJ NCVS Crime Data tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DOJ NCVS Crime Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DOJ NCVS Crime Data MCP in Google ADK

You configure the `McpToolset` with the HTTP transport URL provided by Vinkius. Once initialized, pass this toolset to your `LlmAgent` so Gemini can call tools like `get_personal_victimization`.
Yes. You can write an agent that retrieves victimization trends using `get_crime_by_year` and writes the structured JSON output directly into a BigQuery table for long-term storage.
The SDK relies on Gemini's structured output generation to pace calls. If the federal API slows down, you can use `check_api_status` to monitor the connection and implement backoff strategies.
Yes, the `McpToolset` in Google ADK accepts an optional list of tool names. You can expose only `get_crime_by_region` while hiding the broader household metrics.
Your queries for US victimization statistics are routed through isolated Google Cloud VPCs if configured, and V8 sandbox isolation ensures no crime statistics or regional queries are ever stored on disk.

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