Skip to main content
Glama

MCP Inflow Ingredients

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

Deploy Server
-
security - not tested
F
license - not found
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables AI assistants to interact with Inflow Inventory API for managing ingredients/products and inventory operations. Supports product creation, updates, search, and stock adjustments through natural language commands.

  1. Features
    1. Product/Ingredient Management
    2. Inventory Management
  2. Setup
    1. Prerequisites
    2. Installation
    3. Test Connection
  3. MCP Server Usage
    1. Running the Server
    2. Available Tools
  4. Project Structure
    1. Development
      1. Type Safety
      2. Testing
      3. Scripts
    2. Inflow API Resources
      1. License

        MCP directory API

        We provide all the information about MCP servers via our MCP API.

        curl -X GET 'https://glama.ai/api/mcp/v1/servers/intelligent-staffing-systems/mcp-inflow-ingredients'

        If you have feedback or need assistance with the MCP directory API, please join our Discord server