Atlas – Ai Transport Logistics Agent Standard
About
Open-source MCP server for logistics. Runs inside your security perimeter — connects to TMS, ERP, email, and documents. Gives AI agents deep context about shipments, carriers, rates, and routes without data leaving your infrastructure.
Details
- Author
- cargofy
- Downloads
- 292
- Categories
- AI
Jump to
- Zero data egress — all processing on your infrastructure
- Logistics-native data models (Shipment, Carrier, Rate, Route, Document, Event)
- Connectors for Email (IMAP/Exchange), Google Drive/S3, and REST API (TMS/ERP)
- Standard MCP interface works with Claude, GPT, and other agents
- Docker deployable in minutes with a single command
- Open source under Apache 2.0 license
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Atlas – Ai Transport Logistics Agent StandardCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Deploy Atlas via Docker with a single command. It exposes a standard MCP interface, so any MCP-compatible agent can connect and query your logistics data — no additional configuration needed.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"atlas \u2013 ai transport logistics agent standard": {
"atlas": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-p",
"3000:3000",
"-v",
"./config.yml:/app/config.yml",
"cargofy/atlas:latest"
]
}
}
}
}McpServers
{
"atlas": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-p",
"3000:3000",
"-v",
"./config.yml:/app/config.yml",
"cargofy/atlas:latest"
]
}
}ATLAS (AI Transport Logistics Agent Standard) is an open-source MCP server built for enterprise logistics. It runs inside your security perimeter and gives AI agents deep operational context — without your data ever leaving your infrastructure.
Connect ATLAS to your TMS, ERP, email, and documents. Any MCP-compatible AI agent (Claude, GPT, or custom) can then query your own data to negotiate rates, answer shipment questions, or run procurement workflows — from context that actually belongs to your company.
The Problem It Solves
Enterprise logistics companies have years of operational data: carrier relationships, rate history, shipment records, contracts. AI agents need this context to be useful. But sending raw operational data to external cloud services is a non-starter for legal and compliance teams.
ATLAS fixes this. Your data stays on your infrastructure. Agents get the context they need via the MCP protocol.
Key Features
• Zero data egress — all processing happens on your infrastructure
• Logistics-native data models — Shipment, Carrier, Rate, Route, Document, Event
• Connectors — Email (IMAP/Exchange), Google Drive/S3, REST API (TMS/ERP)
• Standard MCP interface — works with Claude, GPT, and any MCP-compatible agent
• Docker deploy — running in minutes with a single command
• Open source — Apache 2.0, inspect every line
Use Cases
Carrier Negotiation — Agent queries your historical volumes with a carrier before negotiating rates. Negotiates from knowledge, not guesswork.
Shipment Tracking — "Where is shipment #12345?" — Agent pulls status from your TMS via ATLAS and answers instantly.
Procurement — "Best 3 carriers for reefer transport to Ukraine?" — Agent pulls your own performance data and makes a data-driven recommendation.
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