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Atlas – Ai Transport Logistics Agent Standard

@cargofy

Repository

About Atlas – Ai Transport Logistics Agent Standard

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.

#logistics#transport#freight#supply-chain#enterprise#self-hosted

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "atlas": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-p",
        "3000:3000",
        "-v",
        "./config.yml:/app/config.yml",
        "cargofy/atlas:latest"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Atlas – Ai Transport Logistics Agent Standard?

Atlas – Ai Transport Logistics Agent Standard is an open-source MCP server for enterprise logistics. It runs inside your security perimeter, connects to your TMS, ERP, email, and documents, and gives AI agents deep operational context without your data leaving your infrastructure. Any MCP-compatible agent (Claude, GPT, or custom) can then query your own data to negotiate rates, answer shipment questions, or run procurement workflows.

How to use Atlas – Ai Transport Logistics Agent Standard?

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.

Key features of Atlas – Ai Transport Logistics Agent Standard

  • 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

Use cases of Atlas – Ai Transport Logistics Agent Standard

  • Carrier Negotiation — agent queries historical volumes with a carrier before negotiating rates
  • Shipment Tracking — agent pulls status from TMS to answer real-time shipment queries
  • Procurement — agent uses historical performance data to recommend best carriers for specific routes

FAQ from Atlas – Ai Transport Logistics Agent Standard

How does Atlas keep my data secure?

All processing happens on your infrastructure; your data never leaves your security perimeter, addressing legal and compliance concerns.

What data sources can Atlas connect to?

Atlas connects to email (IMAP/Exchange), cloud storage (Google Drive/S3), and REST APIs (TMS, ERP).

What data models does Atlas support?

Atlas uses logistics-native models including Shipment, Carrier, Rate, Route, Document, and Event.

Is Atlas open source?

Yes, Atlas is open source under the Apache 2.0 license.

How do I deploy Atlas?

Deploy Atlas using Docker with a single command — it runs in minutes.

Frequently asked questions

How does Atlas keep my data secure?

All processing happens on your infrastructure; your data never leaves your security perimeter, addressing legal and compliance concerns.

What data sources can Atlas connect to?

Atlas connects to email (IMAP/Exchange), cloud storage (Google Drive/S3), and REST APIs (TMS, ERP).

What data models does Atlas support?

Atlas uses logistics-native models including Shipment, Carrier, Rate, Route, Document, and Event.

Is Atlas open source?

Yes, Atlas is open source under the Apache 2.0 license.

How do I deploy Atlas?

Deploy Atlas using Docker with a single command — it runs in minutes.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

cargofy

Submitted by

Alex

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