csoai-org avatar

Inventory Management Ai Mcp

csoai-org/inventory-management-ai-mcp

A stock control toolkit for warehouse and inventory operations. Exposes tools for calculating reorder points, forecasting demand, optimizing SKU placement, planning warehouse layouts, and detecting shrinkage. Built by MEOK AI Labs with EU AI Act compliance features baked in. You'd reach for this when building AI agents that need to reason about inventory levels, suggest restocking schedules, or analyze supply chain patterns. Installs via pip or Smithery. The underlying implementation details aren't shown in the docs, but the feature set targets operations teams managing physical goods across distribution centers or retail locations.

tools
3
transport
STDIO
last updated
Aug 19, 2026

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

reorder_point

No parameter schema in public metadata yet.

demand_forecast

No parameter schema in public metadata yet.

sku_optimizer

No parameter schema in public metadata yet.

Sponsors

Readme

MCP Scorecard: 86/100

Inventory Management Ai MCP

MEOK AI Labs EU AI Act License PyPI

Stock control toolkit: reorder points, demand forecasting, SKU optimization, warehouse layout, an...

Stock control toolkit: reorder points, demand forecasting, SKU optimization, warehouse layout, and shrinkage detection. By MEOK AI Labs.


🚀 Quick Start

# Install via pip
pip install inventory_management_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install inventory-management-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

View the full README on GitHub

Details

Repository
github.com/csoai-org/inventory-management-ai-mcp
Package
inventory-management-ai-mcp
Transport
STDIO
Registry
MCP registry, active

More from csoai-org