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.
@cargofy
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"atlas": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-p",
"3000:3000",
"-v",
"./config.yml:/app/config.yml",
"cargofy/atlas:latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
All processing happens on your infrastructure; your data never leaves your security perimeter, addressing legal and compliance concerns.
Atlas connects to email (IMAP/Exchange), cloud storage (Google Drive/S3), and REST APIs (TMS, ERP).
Atlas uses logistics-native models including Shipment, Carrier, Rate, Route, Document, and Event.
Yes, Atlas is open source under the Apache 2.0 license.
Deploy Atlas using Docker with a single command — it runs in minutes.
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