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How to Use the FBI Crime Data Explorer MCP in Google ADK

Connect Gemini models to the FBI Crime Data Explorer using Google ADK for deep, long-context analysis.

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Google ADK

Connect FBI Crime Data Explorer MCP to Google ADK

Create your Vinkius account to connect FBI Crime Data Explorer 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 state-wide crime trends via Google ADK

Large datasets usually choke standard context windows, but Gemini handles them easily. Use `get_state_summarized` to pull decades of state-level crime statistics directly into your Google ADK agent. This MCP server connects your enterprise models to the raw database. Because the SDK integrates with Google Cloud, you can feed these massive state summaries directly into your Vertex AI pipelines for advanced forecasting.

Merge FBI Crime Data Explorer metrics with BigQuery

Stop manually exporting CSVs to join external data with your internal tables. Your agent can run `get_agency_summarized` to grab local law enforcement metrics and immediately join them with your BigQuery datasets. Google ADK makes this pipeline straightforward by letting your agent write the output of the tool directly to your cloud storage. You get up-to-date federal statistics aligned with your municipal planning databases.

Filter demographic tools for specific agent tasks

Sometimes you want to limit which MCP tools an agent can access to prevent token waste. Use the `tool_names` filter in your `McpToolset` setup to expose only `get_nibrs_victim_demographics` and `get_national_estimates` to your demographic analysis agent. This keeps your agent focused on specific sociological metrics without giving it access to state or agency summaries. It reduces decision latency and keeps your Gemini reasoning loops highly efficient.

Setup guide

Set up FBI Crime Data Explorer 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 FBI Crime Data Explorer 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="FBI Crime Data Explorer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FBI Crime Data Explorer 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 FBI Crime Data Explorer. 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 FBI Crime Data Explorer MCP in Google ADK

Install `google-adk` and initialize `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL. Pass the toolset directly to your `LlmAgent` in the tools parameter.
Yes. You can connect your Gemini agent to this MCP server using either transport layer. HTTP is recommended for cloud-deployed agents, while Stdio works well for local testing.
Gemini's million-token context window is perfect for this. It can ingest massive JSON outputs from `get_state_summarized` without losing track of your analysis goals.
Use the optional `tool_names` filter inside your `McpToolset` configuration. This lets you expose only the specific tools your agent needs, like limiting it to just demographic queries.
Your state summaries and demographic datasets flow directly between the secure Vinkius MCP sandbox and your Google Cloud environment. No data is stored on Vinkius, ensuring your public safety queries remain private.

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