Atlas – Ai Transport Logistics Agent Standard
@cargofy
关于 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.
基本信息
配置
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
未检测到工具
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。
概览
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.
AI 与智能体 分类下的更多 MCP 服务器
Perplexity MCP Server
DaInfernalCoderA Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI. Won 1st @ Cline Hackathon
1Panel
1Panel-dev🔥 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support. Run Ollama models, deploy OpenClaw agents, and manage your entire server stack from one clean web interface.
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
21st.dev Magic AI Agent
21st-devIt's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic
Unreal Engine Generative AI Support Plugin
prajwalshettydevUnreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti
评论