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.

Category
访问服务器

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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选