OffenderSearch MCP

Search all 58 US sex-offender registries - every state, DC and the territories - from any MCP client in one tool call, with scored, de-duplicated, provenance-tagged records built on a continuously updated national dataset with 100% US coverage. One call returns matchConfidence, matchBasis (why it matched), DOB verification state, aliases, addresses, offense detail, and a per-source citation with lastCheckedAt - so an agent can cite exactly which registry said what.

Server type: Local stdio or remote (Streamable HTTP, self-hostable)
Auth: API key (free tier: 25 searches, no card required)
Tools: 3 (search_offenders, batch_search, get_registry_coverage)
Pricing: metered, $0.15 per call, volume tiers (offendersearch.app/pricing)
Built with: official Python MCP SDK (FastMCP)
Category: Compliance / Screening
Built by: Offendersearch (offendersearch.app)

Why This Matters for Operators

A nationwide background check across 58 registries is normally either a slow manual grind or an enterprise contract. OffenderSearch collapses it to one tool call with a scored result set: per-registry outcomes (sourceStatus), plain-language warnings, and citations that name the registry and when it was checked. For staffing firms, property managers, healthcare providers and screening platforms, that turns "run a check" into something an agent can do inside an existing workflow - with the compliance boundary stated up front: results are public-record data and not a consumer report, and must not be used for FCRA-covered decisions without appropriate process.

The batch tool is the operator feature: up to 1,000 lookups in one call, row-in row-out, each through the same engine as a single search - the difference between screening one applicant and screening an applicant pool.

Tools & Capabilities

Tool	What it does
search_offenders	Search every registry for one person or location - name, DOB, age, city/state/ZIP, street address, GIS radius, or free text. Returns scored matches with per-registry outcome and plain-language warnings
batch_search	Up to 1,000 lookups in one call, row-in/row-out, same engine as single search
get_registry_coverage	Public coverage catalog: every registry code, scope, legal status and health; no API key needed

Installation

# Local stdio (from the repo)
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

claude_desktop_config.json:

{
  "mcpServers": {
    "offendersearch": {
      "command": "python",
      "args": ["/path/to/services/mcp-server/server.py"],
      "env": { "OFFENDERSEARCH_API_KEY": "os_live_..." }
    }
  }
}

Configuration

For a self-hosted remote instance (per-request key, multi-tenant by design):

MCP_TRANSPORT=streamable-http OFFENDERSEARCH_API_KEY="os_live_..." python server.py

Keys are free to create at offendersearch.app/sign-up and work immediately (25 free searches, no card). The hosted endpoint setup is documented on the vendor's MCP server page (offendersearch.app/mcp-server); API reference and OpenAPI at offendersearch.app/docs.

Business Relevance

• Staffing and property-management operators run registry checks inside existing agent workflows instead of a separate tab per candidate.
• Healthcare and screening providers get a documented API and MCP surface with HIPAA-aware enterprise options (BAA available).
• Volume screeners use batch_search for pools up to 1,000 lookups per call at metered pricing.
• Compliance teams get citations per record - registry, status, and last-checked date - for defensible screening logs.

Integration with CorpusIQ

CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.

This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.

See what CorpusIQ connects