Inventory Analysis MCP Server

Inventory Analysis MCP Server

Connects to Odoo ERP to provide comprehensive inventory analysis, including demand forecasting, ABC/XYZ classification, and stock level monitoring. It enables users to identify slow-moving items and generate turnover or aging reports through natural language queries.

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README

Inventory Analysis MCP Server

An MCP (Model Context Protocol) server that connects to Odoo ERP to provide comprehensive inventory analysis, forecasting, and reporting capabilities.

Features

1. Stock Levels & Reorder Points

  • Current stock levels with status classification (out of stock, critical, low, normal, overstock)
  • Reorder alerts based on stock levels and reorder rules
  • Days of stock calculations
  • Stock summary statistics

2. Demand Forecasting

  • Multiple forecasting methods:
    • Moving Average
    • Exponential Smoothing
    • Linear Regression
    • Holt-Winters (for seasonal data)
    • Auto-selection (best method based on data)
  • Trend detection (increasing, decreasing, stable)
  • Seasonality detection
  • Confidence intervals for predictions
  • Accuracy metrics (MAE, RMSE, MAPE)

3. ABC/XYZ Analysis

  • ABC Classification (by annual consumption value):
    • A: High value items (~20% of items, ~80% of value)
    • B: Medium value items (~30% of items, ~15% of value)
    • C: Low value items (~50% of items, ~5% of value)
  • XYZ Classification (by demand variability):
    • X: Stable demand (CV < 0.5)
    • Y: Variable demand (0.5 <= CV < 1.0)
    • Z: Highly unpredictable demand (CV >= 1.0)
  • Combined matrix with management recommendations

4. Turnover & Aging Reports

  • Turnover Analysis:
    • Turnover ratio calculation
    • Days of inventory
    • Classification: fast-moving, normal, slow-moving, dead stock
  • Aging Analysis:
    • Inventory age buckets (0-30, 31-60, 61-90, 91-180, 181-365, >365 days)
    • Obsolescence risk assessment
    • Slow-moving and high-risk item identification

Installation

Prerequisites

  • Python 3.10 or higher
  • Access to an Odoo instance (v14+)

Setup

  1. Clone or download this repository

  2. Install dependencies:

    cd inventory_mcp_server
    pip install -e .
    

    Or using requirements.txt:

    pip install -r requirements.txt
    
  3. Configure Odoo connection:

    cp .env.example .env
    # Edit .env with your Odoo credentials
    

Configuration

Environment Variables

Variable Description Default
ODOO_URL Odoo server URL https://duracubeonline.com.au
ODOO_DB Database name live
ODOO_USERNAME Username/email accounting@qagroup.com.au
ODOO_API_KEY API key for authentication (required)

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "inventory-analysis": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "C:/Users/jatin/ODOO/Claude/inventory_mcp_server",
      "env": {
        "ODOO_URL": "https://duracubeonline.com.au",
        "ODOO_DB": "live",
        "ODOO_USERNAME": "accounting@qagroup.com.au",
        "ODOO_API_KEY": "your_api_key_here"
      }
    }
  }
}

Or using uv:

{
  "mcpServers": {
    "inventory-analysis": {
      "command": "uv",
      "args": ["run", "--directory", "C:/Users/jatin/ODOO/Claude/inventory_mcp_server", "python", "-m", "src.server"],
      "env": {
        "ODOO_URL": "https://duracubeonline.com.au",
        "ODOO_DB": "live",
        "ODOO_USERNAME": "accounting@qagroup.com.au",
        "ODOO_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

Stock Level Tools

Tool Description
get_stock_levels Get current stock levels with status classification
get_reorder_alerts Get products needing reorder
get_stock_summary Get summary statistics

Forecasting Tools

Tool Description
forecast_demand Generate demand forecasts
get_forecast_summary Get forecast summary statistics

ABC/XYZ Tools

Tool Description
analyze_abc_xyz Perform ABC/XYZ classification
get_abc_xyz_summary Get classification summary

Turnover & Aging Tools

Tool Description
analyze_turnover Analyze inventory turnover
analyze_aging Analyze inventory aging
get_turnover_summary Get turnover summary
get_aging_summary Get aging summary
get_slow_moving_items Get slow-moving/dead stock
get_high_risk_aging_items Get high obsolescence risk items

Usage Examples

Get Stock Alerts

"Show me products that need reordering"

Forecast Demand

"Forecast demand for the next 30 days for product ID 42"

ABC/XYZ Analysis

"Perform ABC/XYZ analysis on my inventory"

Identify Problem Stock

"Show me slow-moving inventory worth more than $1000"

Odoo Requirements

The server requires the following Odoo modules:

  • stock (Inventory)
  • product (Products)

Optional for full functionality:

  • purchase (for reorder rules)
  • sale (for sales history)

Required Odoo User Permissions

  • Read access to:
    • product.product
    • product.category
    • stock.quant
    • stock.move
    • stock.location
    • stock.warehouse.orderpoint

Development

Running Tests

pytest tests/

Code Formatting

black src/
ruff check src/

Type Checking

mypy src/

License

MIT License

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