mcpField
F
Fbi Crime

Fbi Crime

Remote
pipeworx.ioLegal & Government0Updated 3d ago

About Fbi Crime

Fbi Crime is an MCP server for analysts and researchers working with aggregated FBI UCR/NIBRS crime statistics. It provides agency, state and national summaries, plus offense-slug lookup, and runs through Pipeworx or locally.

Key features

  1. 01Agency, state and national crime data
  2. 02Offense counts and rates
  3. 03Summaries over date ranges
  4. 04Agency and offense lookup
  5. 05Gateway and local stdio modes

Use cases

  1. 01Compare state crime summaries by offense
  2. 02Review national estimates over a date range
  3. 03Find agencies by state

MCP support

Exposes tools for agency lookup and crime estimates or summaries at agency, state and national levels. It can connect through Pipeworx or run locally over stdio.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/fbi-crime/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

@pipeworx/fbi-crime

FBI Crime Data Explorer (UCR/NIBRS) MCP — aggregated crime statistics.

Part of Pipeworx — an MCP gateway connecting AI agents to 1879+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Distinct from fbiwanted (active fugitives). This pack covers crime counts and rates at the agency, state, and national level.

Tools

  • list_agencies(state_abbr?)
  • get_agency(ori)
  • national_estimate(offense, from?, to?)
  • state_summary(state_abbr, offense, from?, to?)
  • agency_summary(ori, offense, from?, to?)
  • list_offense_slugs() — valid offense slugs (no key)

Auth

  • Platform key: reuses PLATFORM_DATAGOV_KEY (the data.gov umbrella key).
  • BYO: ?_apiKey=<key> after registering at https://api.data.gov/signup.

Data source

https://api.usa.gov/crime/fbi/cde/ — ?api_key= query param. Upstream is intermittently flaky on DEMO_KEY; registered keys generally fare better.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "fbi-crime": {
      "url": "https://gateway.pipeworx.io/fbi-crime/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/fbi-crime/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1879+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/fbi_crime_list_agencies \
  -H 'Content-Type: application/json' \
  -d '{"state_abbr":"CA"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/fbi_crime_list_agencies. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "fbi-crime": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-fbi-crime"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-fbi-crime

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Fbi Crime data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.