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belegante-byte/aetherx-mcp

by Various

MCP server for the Aether-X Port Congestion Oracle - predictive port congestion signals for AI agents

MCP

belegante-byte/aetherx-mcp

Added 21 Sept 2026

#ai-agents #llm-tools #logistics #mcp #mcp-server #model-context-protocol #port-congestion #python

Overview

MCP server that exposes predictive port congestion signals from the Aether-X Port Congestion Oracle to AI agents. It implements the Model Context Protocol so agents can query congestion forecasts as a tool. Written in Python.

Best for

Best for
Developers building AI agents that need port congestion forecasts

Use cases

  • Connect AI agents to port congestion forecasts via MCP
  • Add predictive logistics signals to agent workflows
  • Build tools that query Aether-X congestion data

How to use

Install

uvx aetherx-mcp

Tools exposed

  • get_port_risk
  • get_ports_risk
  • list_supported_ports
  • RAPIDAPI_KEY
  • RAPIDAPI_HOST
  • AETHERX_BASE_URL

Tested with

Claude Desktop, Cursor, VS Code

Notes

MCP server that exposes predictive port congestion signals from the Aether-X Port Congestion Oracle to AI agents. It implements the Model Context Protocol so agents can query congestion forecasts as a tool. Written in Python.

0 stars on GitHub. Last updated 2026-09-18. Licensed MIT.

Use cases

  • Connect AI agents to port congestion forecasts via MCP
  • Add predictive logistics signals to agent workflows
  • Build tools that query Aether-X congestion data

Pros

  • Standard MCP protocol enables integration with many agent frameworks
  • Python codebase is approachable for most developers
  • Provides a concrete predictive signal for logistics use cases

Cons

  • Zero stars indicate minimal community validation
  • Requires the Aether-X Oracle as an external dependency
  • No information on data freshness or accuracy

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Standard MCP protocol enables integration with many agent frameworks
  • Python codebase is approachable for most developers
  • Provides a concrete predictive signal for logistics use cases

Cons

  • Zero stars indicate minimal community validation
  • Requires the Aether-X Oracle as an external dependency
  • No information on data freshness or accuracy
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