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Atlas – Ai Transport Logistics Agent Standard MCP Server

@cargofy

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

cargofy

投稿者

Alex

Atlas – Ai Transport Logistics Agent Standard MCP Server について

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

Atlas – Ai Transport Logistics Agent Standard MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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 MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

1

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.

2

What data sources can Atlas connect to?

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

3

What data models does Atlas support?

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

4

Is Atlas open source?

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

5

How do I deploy Atlas?

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

コメント

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