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Carrierscore logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 8:31:01 AM

Carrierscore

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fmcsafreightrisk-scoringcarrier-monitoring

FMCSA carrier risk scores, identity checks, monitoring, and timestamped booking evidence reports for AI agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "carrierscore": {
      "url": "https://mcp.carrierscore.io/mcp",
      "env": {
        "CARRIERSCORE_API_URL": "YOUR_VALUE_HERE",
        "CARRIERSCORE_API_KEY": "YOUR_VALUE_HERE",
        "PORT": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (4) Directory Badge Claim listing Alternatives💻 More in Developer Tools

Overview

The carrierscore MCP server connects AI agents to CarrierScore’s FMCSA motor-carrier risk intelligence through hosted or self-hosted Streamable HTTP. It looks up carrier identity, calculates a 0–100 risk score, generates timestamped Montgomery files, and monitors batches of up to 100 DOT numbers. Reach for it when a broker or dispatch workflow needs to verify a carrier, screen candidates, or retain evidence of what was knowable at booking. Scores are statistical indicators based on public FMCSA data and do not replace official safety ratings or independent judgment.

Use cases

•Verify a carrier’s DOT number against a rate confirmation
•Screen candidate carriers before assigning a load
•Review an active carrier roster in batches
•Generate timestamped booking evidence reports
•Inspect score components and hard risk flags

Key features

•FMCSA carrier identity lookup
•0–100 risk scores with component breakdowns
•Hard flags and data-sufficiency indicators
•Timestamped Montgomery files
•Batch monitoring for up to 100 DOT numbers
•Hosted and self-hosted Streamable HTTP access

Capabilities & Tool Schemas (4) ~196 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Carrierscore.

carrier_lookup

Carrier identity by US DOT number: legal name, DBA, operating status, FMCSA safety rating, fleet size, address, registration dates. Use first to confirm a DOT is real and matches the rate confirmation.

carrier_score

The CarrierScore risk score (0–100, higher = riskier) with full component breakdown, hard flags (active OOS order, no active insurance, reincarnated-carrier link), and data-sufficiency indicator.

montgomery_file

Timestamped carrier-selection evidence report — the documented artifact a broker retains at the moment of booking (post *Montgomery v. Caribe Transport II*). Text format on the free tier; JSON on paid tiers.

monitor_carriers

Batch score summary + flags for up to 100 DOT numbers per call — screen candidates for a load or re-check an active roster.

How Carrierscore works

What the carrierscore MCP server does

The carrierscore MCP server gives freight-broker and AI booking workflows access to CarrierScore’s analysis of public FMCSA and US DOT safety data. It addresses two related questions: how risky a carrier appears under the service’s methodology, and what information was available at a particular point in time.

The available tools are:

  • carrier_lookup verifies a US DOT number and returns identity details such as legal name, DBA, operating status, FMCSA safety rating, fleet size, address, and registration dates. Use this before relying on a score to confirm that the DOT number matches the rate confirmation.
  • carrier_score returns a 0–100 CarrierScore risk result, where higher values indicate greater risk. The response includes component-level detail, a data-sufficiency indicator, and hard flags for conditions such as an active out-of-service order, missing active insurance, or a possible reincarnated-carrier link.
  • montgomery_file creates a timestamped carrier-selection evidence report for the booking decision. Free-tier responses are text; paid tiers provide JSON.
  • monitor_carriers evaluates up to 100 DOT numbers in one call, returning score summaries and flags for candidate screening or roster review.

How it works

CarrierScore builds longitudinal results from daily archives covering census information, inspections, crashes, out-of-service orders, operating authority, and insurance filings. Its scores use population percentiles together with hard flags. Evidence reports preserve the carrier-selection information associated with the time of booking, including the report’s timestamp.

The service is exposed through Model Context Protocol over Streamable HTTP. The hosted endpoint is https://mcp.carrierscore.io/mcp, so an MCP client can connect without installing the repository. Keyless access uses a rate-limited free tier. Paid access adds higher volume, carrier-list monitoring, and structured JSON evidence reports.

Setup and configuration

For the hosted service, configure an MCP client with the endpoint URL. The README provides connection examples for Claude Code, Claude Desktop or claude.ai, Cursor, and generic Streamable HTTP clients.

Self-hosting requires Node.js project installation and a build before starting the process:

Terminal
npm install
npm run build
CARRIERSCORE_API_URL=https://api.carrierscore.io npm start

The local MCP endpoint listens on POST /mcp and defaults to port 8322. CARRIERSCORE_API_URL selects the CarrierScore REST API base URL; CARRIERSCORE_API_KEY can authenticate paid-tier requests and is optional for the rate-limited free tier; PORT changes the MCP listener port. The repository implementation is a thin Streamable HTTP client over the REST API rather than the scoring data service itself.

Limitations and notes

The carrierscore MCP server reports statistical indicators derived from public FMCSA data. Its results are not safety-fitness determinations, are not endorsed by FMCSA, and should not be treated as a replacement for an official safety rating or a broker’s own review.

Scores and evidence reports include the service disclaimer. Retain that disclaimer when storing or quoting results. Free access has rate limits and returns text evidence reports; paid tiers are needed for structured JSON evidence reports and additional volume-related features. The batch monitoring tool accepts no more than 100 DOT numbers per call.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
4
Callable tools this server registers over MCP.

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Frequently Asked Questions about Carrierscore

carrierscore is an MCP server that connects AI agents to CarrierScore’s REST API for FMCSA motor-carrier risk intelligence. Its main tools look up carrier identity, calculate risk scores, generate timestamped Montgomery files, and monitor up to 100 DOT numbers per call. It supports hosted Streamable HTTP and self-hosted deployments.

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSSE (Remote)
LicenseMIT
ClientsClaude Code, Claude Desktop, Cursor
Last updatedOct 8, 2026
9/9 checks healthy over the last 41d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 16, 2026
49Quality signal: Fair · 49/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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