# Supply Chain MCP — Carriers, Vessels & Recalls for Agents (`nexgendata/supply-chain-logistics-mcp`) Actor

MCP server exposing carrier lookup, vessel tracking, vehicle recalls and gov procurement as agent tools. Connect Claude, Cursor, n8n or the OpenAI Agents SDK.

- **URL**: https://apify.com/nexgendata/supply-chain-logistics-mcp.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** MCP servers, AI
- **Stats:** 17 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $100.00 / 1,000 data tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Supply Chain MCP

A Model Context Protocol server that gives AI agents supply-chain data — freight carriers, vessel tracking, vehicle recalls and government procurement — as callable tools. For logistics, sourcing and research agents.

### 🛠 Tools (4)

- `get_carrier_lookup` — Freight carrier lookup.
- `get_gov_procurement` — Government procurement records.
- `get_vehicle_recalls` — NHTSA vehicle recalls.
- `get_vessel_tracking` — Vessel and shipping tracking.

### 🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

```json
{
  "mcpServers": {
    "supply-chain-logistics": {
      "url": "https://nexgendata--supply-chain-logistics-mcp.apify.actor/mcp"
    }
  }
}
```

**Sample agent prompt:**

```
Look up a freight carrier and track a vessel by name.
```

**Pricing:** $0.10 per tool call (Pay-Per-Event). Runs in Standby mode.

***

## 🚢 Supply Chain & Logistics MCP Server — Vessels, Carriers, Recalls & Tenders for Claude / ChatGPT

Connect AI agents to supply-chain and logistics data through the Model Context Protocol (MCP). Clean JSON tuned for LLM function-calling. Pay-per-use, no subscription.

### What You Get

This MCP server exposes **4 tools** to your AI agent:

- **`get_vessel_tracking`** — AIS vessel tracking data (positions and voyage details)
- **`get_carrier_lookup`** — US trucking carrier lookup (FMCSA data)
- **`get_vehicle_recalls`** — US vehicle recall records (NHTSA data)
- **`get_gov_procurement`** — government procurement tenders and awards from **Taiwan's Public Construction Commission (PCC)** portal. Note: procurement coverage is Taiwan PCC specifically, not a generic global procurement aggregator.

All responses are structured JSON for LLM tool use.

### Use Cases

- **Logistics agents** — track vessels and look up US carriers in one workflow
- **Compliance & safety** — pull NHTSA vehicle recalls into an agent
- **Taiwan procurement monitoring** — surface Taiwan PCC tenders and awards for an agent

### Quick Start

Wire this MCP server into an MCP-compatible client (Claude Desktop, Cursor, Windsurf, Cline) by pointing your config at this actor's MCP endpoint:

```
https://nexgendata--supply-chain-logistics-mcp.apify.actor/mcp
```

Then ask, for example: *"Track this vessel"* or *"Show recent Taiwan PCC procurement tenders."*

### Pricing

This actor uses Apify **pay-per-event** pricing — charged per successful tool call, no monthly subscription.

### FAQ

**Q: Is government procurement global?**
No. The `get_gov_procurement` tool covers Taiwan's Public Construction Commission (PCC) tenders and awards specifically, not generic worldwide procurement portals.

**Q: Which carrier and recall data sources are used?**
Carrier lookup uses US FMCSA data; vehicle recalls use US NHTSA data.

**Q: Can the AI agent call this from Cursor / Cline / Claude Desktop?**
Yes — any MCP-compatible client works.

### About NexGenData

NexGenData publishes a catalog of Apify actors and a family of MCP servers for AI agent workflows. Browse the full catalog at https://apify.com/nexgendata

### 🔗 Related NexGenData Actors

- [Web Scraping MCP Server](https://apify.com/nexgendata/web-scraping-mcp-server) — general web scraping for AI agents
- [Finance MCP Server](https://apify.com/nexgendata/finance-mcp-server) — finance + market data for AI agents

# Actor input Schema

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/supply-chain-logistics-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/supply-chain-logistics-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call nexgendata/supply-chain-logistics-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/supply-chain-logistics-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TUTPw3FE86bXWMfIY/builds/508dp0xcKwO7ouB1q/openapi.json