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MCP Inflow Ingredients

An MCP (Model Context Protocol) server that enables AI assistants to interact with Inflow Inventory API, allowing them to manage ingredients/products and inventory programmatically.

Features

Product/Ingredient Management

  • List Ingredients: Search and filter products with smart search

  • Get Ingredient Details: Retrieve full information about specific products

  • Get Inventory Summary: View quantities (on hand, available, reserved, etc.)

  • Search Ingredients: Full-text search across name, description, SKU, barcode

  • Create Ingredient: Add new products to inventory

  • Update Ingredient: Modify existing product information

Inventory Management

  • Create Stock Adjustment: Adjust inventory quantities for products

  • List Stock Adjustments: View adjustment history

  • Get Stock Adjustment: Retrieve details of specific adjustments

Setup

Prerequisites

  • Node.js 18+ installed

  • Inflow Inventory account with API access

  • Inflow API key and Company ID

Installation

  1. Navigate to the project directory:

cd ~/mcp-inflow-ingredients
  1. Install dependencies:

npm install
  1. Configure environment variables:

cp .env.example .env # Edit .env with your Inflow API credentials

Required environment variables:

  • INFLOW_API_KEY: Your Inflow API key

  • INFLOW_COMPANY_ID: Your Inflow company ID

  • INFLOW_API_URL: API base URL (default: https://cloudapi.inflowinventory.com)

  • INFLOW_API_VERSION: API version (default: 2025-06-24)

Test Connection

Verify your Inflow API connection:

npm run test:connection

This will test basic API connectivity and list products.

MCP Server Usage

Running the Server

Start the MCP server:

npm start

For development with auto-reload:

npm run dev

Available Tools

Product/Ingredient Tools

list_ingredients

  • List all products with optional filters

  • Parameters: name, description, isActive, barcode, smart, include, limit

get_ingredient

  • Get detailed information about a specific product

  • Parameters: productId (required), include

get_inventory_summary

  • Get inventory summary with quantities

  • Parameters: productId (required)

search_ingredients

  • Search products using full-text search

  • Parameters: query (required), limit, include

create_ingredient

  • Create a new product

  • Parameters: productId (UUID, required), name (required), sku, description, isActive, additionalFields

update_ingredient

  • Update an existing product

  • Parameters: productId (required), name, sku, description, isActive, additionalFields

Inventory Tools

create_stock_adjustment

  • Create a stock adjustment to modify inventory

  • Parameters: stockAdjustmentId (UUID, required), locationId (required), lines (array, required), adjustmentReasonId, notes, adjustmentDate

list_stock_adjustments

  • List stock adjustments

  • Parameters: adjustmentNumber, include, limit

get_stock_adjustment

  • Get details of a specific adjustment

  • Parameters: stockAdjustmentId (required), include

Project Structure

mcp-inflow-ingredients/ ├── index.js # Main MCP server entry point ├── types.ts # TypeScript definitions for JSDoc ├── package.json # Node.js dependencies and scripts ├── .env # Environment variables (not in git) ├── .env.example # Environment template ├── .mcp.json # MCP server configuration ├── src/ │ ├── inflow-client.js # Inflow API client │ └── handlers/ │ ├── product-handlers.js # Product operations │ └── inventory-handlers.js # Inventory operations ├── tests/ │ └── test-connection.js # API connection test └── docs/ └── swagger.json # Inflow API documentation

Development

Type Safety

This project uses JSDoc with TypeScript type definitions for type safety without a build step. Types are defined in types.ts and imported via JSDoc comments.

Testing

Run the connection test:

npm run test:connection

Scripts

  • npm start - Start the MCP server

  • npm run dev - Development mode with auto-reload

  • npm run test:connection - Test Inflow API connection

Inflow API Resources

License

MIT

MCP directory API

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