MCP · Model Context Protocol

Add crime intelligence to your AI assistant.

CrimeScore connects to any MCP-compatible AI via a single HTTP endpoint. No RAG pipeline. No retrieval layer. One tool. Deterministic results.

bash

claude mcp add --transport http crimescore \
  https://mcp.crimescore.info/mcp \
  --header "Authorization: Bearer YOUR_TOKEN"

What you get

published_score

The one tool

Query crime scores for any US ZIP code or county FIPS code.

Input

region_code

ZIP or county FIPS

Output

percentile

national_rank

state_rank

Coverage

41,700+ ZIPs

Monthly snapshots

Setup in 60 seconds

Claude Code (CLI)

bash

claude mcp add --transport http crimescore \
  https://mcp.crimescore.info/mcp \
  --header "Authorization: Bearer YOUR_TOKEN"

Claude Desktop

Add to your claude_desktop_config.json:

json

{
  "mcpServers": {
    "crimescore": {
      "type": "http",
      "url": "https://mcp.crimescore.info/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_TOKEN"
      }
    }
  }
}

Direct API (curl)

bash

curl -X POST https://mcp.crimescore.info/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "published_score",
      "arguments": { "region_code": "10001" }
    }
  }'

JavaScript / Node.js

javascript

const res = await fetch('https://mcp.crimescore.info/mcp', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_TOKEN',
  },
  body: JSON.stringify({
    jsonrpc: '2.0',
    id: 1,
    method: 'tools/call',
    params: {
      name: 'published_score',
      arguments: { region_code: '10001' },
    },
  }),
})

const { result } = await res.json()
const scores = JSON.parse(result.content[0].text)
console.log(scores[0].percentile) // e.g. 62.4

Python

python

import requests, json

resp = requests.post(
    "https://mcp.crimescore.info/mcp",
    headers={
        "Content-Type": "application/json",
        "Authorization": "Bearer YOUR_TOKEN",
    },
    json={
        "jsonrpc": "2.0",
        "id": 1,
        "method": "tools/call",
        "params": {
            "name": "published_score",
            "arguments": {"region_code": "10001"},
        },
    },
)

scores = json.loads(resp.json()["result"]["content"][0]["text"])
print(scores[0]["percentile"])  # e.g. 62.4

Sample Queries

Once connected to Claude or another MCP-compatible AI, ask naturally:

›

“What's the crime score for ZIP 21201?”

›

“Compare crime levels in 90210 and 10001.”

›

“What is the crime percentile for county FIPS 24510?”

›

“How dangerous is the neighborhood around ZIP 60601?”

›

“Rank these ZIPs by crime: 21201, 21215, 21210.”

Coverage

~41,700

US ZIP codes (ZCTAs)

60M+

Crime incidents in dataset

Monthly

Score update cadence

Get a Token

Demo tokens are available for testing with ZIP codes 21201–21231. Production tokens provide access to all ~41,700 ZIP codes.

Request a token → feedback@spotcrime.com

Interactive test console available at mcp.crimescore.info

Open console →