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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.

Updated
Feb 2, 2026

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

VariableDescriptionDefault
ODOO_URLOdoo server URLhttps://duracubeonline.com.au
ODOO_DBDatabase namelive
ODOO_USERNAMEUsername/emailaccounting@qagroup.com.au
ODOO_API_KEYAPI 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

ToolDescription
get_stock_levelsGet current stock levels with status classification
get_reorder_alertsGet products needing reorder
get_stock_summaryGet summary statistics

Forecasting Tools

ToolDescription
forecast_demandGenerate demand forecasts
get_forecast_summaryGet forecast summary statistics

ABC/XYZ Tools

ToolDescription
analyze_abc_xyzPerform ABC/XYZ classification
get_abc_xyz_summaryGet classification summary

Turnover & Aging Tools

ToolDescription
analyze_turnoverAnalyze inventory turnover
analyze_agingAnalyze inventory aging
get_turnover_summaryGet turnover summary
get_aging_summaryGet aging summary
get_slow_moving_itemsGet slow-moving/dead stock
get_high_risk_aging_itemsGet 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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