The MRP Calculator MCP Server provides Material Requirements Planning (MRP) calculations via the Model Context Protocol (MCP). With this server, you can:
- Calculate when and how much to order based on inventory levels, forecast periods, delivery schedules, and order constraints
- Determine order needs using inputs including SKU location, current balance, open orders, and must-order points
- Optionally account for batch sizes in order calculations
The server is built in TypeScript using the MCP SDK and can be configured through an MCP settings file.
Used for version control of the MRP calculator's source code, tracking important files while ignoring build artifacts and dependencies via .gitignore.
Handles package management and build scripts for the MRP calculator, enabling users to install dependencies and build the server.
The MRP calculator is written in TypeScript, providing static typing and improved developer experience for implementing the MRP calculation logic.
MRP Calculator MCP Server
Overview
This MCP server provides tools for Material Requirements Planning (MRP) calculations. It follows the Model Context Protocol (MCP) to expose its functionality to the system.
Features
- Delivery schedule calculation
- Order need determination
- MRP period calculations
Tools
The server provides the following MCP tools:
calculate_order_need
Calculates when and how much to order based on:
- Current inventory levels
- Forecast periods
- Delivery schedules
- Order constraints
Configuration
The server can be configured through the MCP settings file with:
Development
- Written in TypeScript
- Uses MCP SDK for server implementation
- Includes test cases for validation
Project Structure
Building and Running
Version Control
This repository uses Git for version control. Important files are tracked while build artifacts and dependencies are ignored via .gitignore.
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Tools
Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.
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