How to Use the DOJ NCVS Crime Data MCP in Mastra AI

Q: Can I chain multiple tools together?

You can. Use listcrimeattributes first to define your parameters, then pass those to getcrimebyyear in the next step.

Build resilient crime reporting workflows in Mastra AI using verified DOJ NCVS Crime Data.

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Connect DOJ NCVS Crime Data MCP to Mastra AI

Create your Vinkius account to connect DOJ NCVS Crime Data to Mastra AI 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 DOJ NCVS Crime Data with Mastra AI

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Claude

Perplexity

Automated victimization analysis

Pipe `get_personal_victimization` results into your Mastra agents to trigger automated alerts. Set up your logic to branch based on specific crime thresholds. Your workflow engine handles the retries if a request fails. This keeps your reporting pipeline running without manual intervention.

Conditional data retrieval

Use `get_household_victimization` as a step in your agent workflow. If the data indicates a spike, you can trigger a secondary step to notify your team. Your agents decide when to call the tool based on your defined conditions. It removes the guesswork from your data processing cycles.

Standardized attribute mapping

Call `list_crime_attributes` to ensure your agent understands the data structure before it runs a query. This prevents errors in your long-running workflows. Your agent adapts to the available fields automatically. It makes your code cleaner and easier to maintain over time.

Setup guide

Set up DOJ NCVS Crime Data MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All DOJ NCVS Crime Data tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "doj-ncvs-crime-data-mcp-client",
  servers: {
    "doj-ncvs-crime-data-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DOJ NCVS Crime Data Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DOJ NCVS Crime Data tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DOJ NCVS Crime Data transactions"
);
console.log(result.text);

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Common questions about DOJ NCVS Crime Data MCP in Mastra AI

You register the server in your Mastra config and spread the tools into your agent definition. The agent then invokes them as steps.

Yes. You set the retry policy in your workflow definition. If a call to the API times out, the agent tries again.

You use the built-in tool approval settings. This forces a human to confirm any data access before the agent proceeds.

It accesses public victimization statistics including household and personal crime reports from the DOJ database.

You can. Use `list_crime_attributes` first to define your parameters, then pass those to `get_crime_by_year` in the next step.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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