DOJ NCVS Crime Data MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DOJ NCVS Crime Data as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DOJ NCVS Crime Data. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in DOJ NCVS Crime Data?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About DOJ NCVS Crime Data MCP Server
Empower your AI agent to orchestrate your entire public safety research workflow with DOJ NCVS Crime Data, the authoritative source for United States victimization statistics. By connecting the DOJ API to your agent, you transform complex crime data lookups into a natural conversation. Your agent can instantly retrieve personal and household victimization rates, audit historical crime trends, and identify regional safety markers without you ever touching a technical data portal. Whether you are conducting sociological research or monitoring community safety, your agent acts as a real-time safety analyst, ensuring your intelligence is always grounded in official, government-verified data.
LlamaIndex agents combine DOJ NCVS Crime Data tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Personal Auditing — Retrieve statistics on personal victimization, including assault and theft, to maintain a clear view of safety trends.
- Household Oversight — Audit household-level crime data, such as burglary and motor vehicle theft, to understand residential security.
- Temporal Intelligence — Query crime statistics for specific years to audit past and current public safety trends instantly.
- Regional Discovery — Retrieve crime data for specific US regions to understand geographic distributions of victimization.
- Attribute Intelligence — List all available categories and attributes in the NCVS catalog to identify relevant safety markers.
The DOJ NCVS Crime Data MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DOJ NCVS Crime Data to LlamaIndex via MCP
Follow these steps to integrate the DOJ NCVS Crime Data MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from DOJ NCVS Crime Data
Why Use LlamaIndex with the DOJ NCVS Crime Data MCP Server
LlamaIndex provides unique advantages when paired with DOJ NCVS Crime Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DOJ NCVS Crime Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DOJ NCVS Crime Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DOJ NCVS Crime Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DOJ NCVS Crime Data tools were called, what data was returned, and how it influenced the final answer
DOJ NCVS Crime Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DOJ NCVS Crime Data MCP Server delivers measurable value.
Hybrid search: combine DOJ NCVS Crime Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DOJ NCVS Crime Data to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DOJ NCVS Crime Data for fresh data
Analytical workflows: chain DOJ NCVS Crime Data queries with LlamaIndex's data connectors to build multi-source analytical reports
DOJ NCVS Crime Data MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect DOJ NCVS Crime Data to LlamaIndex via MCP:
check_api_status
Check if the DOJ NCVS API is operational
get_crime_by_region
Get crime statistics for a specific US region
get_crime_by_year
Get all crime statistics for a specific year
get_household_victimization
Get household victimization statistics from NCVS
get_personal_victimization
Get personal victimization statistics from NCVS
list_crime_attributes
List available attributes and categories in the NCVS database
Example Prompts for DOJ NCVS Crime Data in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DOJ NCVS Crime Data immediately.
"What were the personal victimization rates in the US for 2022?"
"Show household crime data for the 'South' region."
"List all categories in the NCVS database."
Troubleshooting DOJ NCVS Crime Data MCP Server with LlamaIndex
Common issues when connecting DOJ NCVS Crime Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDOJ NCVS Crime Data + LlamaIndex FAQ
Common questions about integrating DOJ NCVS Crime Data MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect DOJ NCVS Crime Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DOJ NCVS Crime Data to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.