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OFODevelopment/cerebrochain-mcp-server

by Various

The first logistics/WMS MCP server for AI agents. Rate shopping, inventory, orders, fleet tracking, AI forecasting. 13+ tools, free tier + x402 paid tier.

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MCP

OFODevelopment/cerebrochain-mcp-server

Added 1 June 2026

#ai-agent #cerebrochain #claude #logistics #mcp #model-context-protocol #supply-chain #warehouse-management

Overview

OFODevelopment/cerebrochain-mcp-server is a logistics and warehouse management MCP server for AI agents. It provides over 13 tools for rate shopping, inventory, orders, fleet tracking, and AI forecasting. The server offers a free tier and a paid tier (x402).

Best for

Best for
Developers building AI agents for logistics and warehouse management

Use cases

  • Integrating logistics data into AI agents
  • Automating inventory and order management
  • Enabling fleet tracking and rate shopping

Notes

OFODevelopment/cerebrochain-mcp-server is a logistics and warehouse management MCP server for AI agents. It provides over 13 tools for rate shopping, inventory, orders, fleet tracking, and AI forecasting. The server offers a free tier and a paid tier (x402).

0 stars on GitHub. Last updated 2026-04-24. Licensed MIT.

Use cases

  • Integrating logistics data into AI agents
  • Automating inventory and order management
  • Enabling fleet tracking and rate shopping

Pros

  • Comprehensive set of logistics tools in one MCP server
  • Free tier available for testing and development
  • Built as an MCP server for straightforward AI agent integration

Cons

  • No GitHub stars indicates limited community adoption
  • Paid tier required for full feature access
  • Documentation and support may be minimal

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

Pros

  • Comprehensive set of logistics tools in one MCP server
  • Free tier available for testing and development
  • Built as an MCP server for straightforward AI agent integration

Cons

  • No GitHub stars indicates limited community adoption
  • Paid tier required for full feature access
  • Documentation and support may be minimal

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