Office Supplies Inventory NANDA Service
by izzyfondu
This project implements a NANDA service using MCP server code to serve office inventory data from a CSV file. It allows AI assistants to query and retrieve information about office supplies using the MCP standard.
Last updated: N/A
What is Office Supplies Inventory NANDA Service?
This is a NANDA service built using Model Context Protocol (MCP) server code that provides information about office supplies inventory. It uses a cloud-hosted server and a web-based NANDA host client, eliminating the need for local server installation.
How to use Office Supplies Inventory NANDA Service?
To use this service, deploy the server to AWS AppRunner and register it on the NANDA Registry. Then, access the service through the NANDA host client, providing your Anthropic API key and adding the server to your host. You can then test the service by asking questions that utilize its functionality.
Key features of Office Supplies Inventory NANDA Service
Provides a list of available items in the inventory
Retrieves detailed information about specific items by name
Uses MCP standard for communication with AI assistants
Supports CSV data format for inventory data
Can be deployed to AWS AppRunner
Use cases of Office Supplies Inventory NANDA Service
Integrating office supply inventory data with AI assistants
Creating a consumer-facing web app for standard inventory management
Providing real-time inventory information to chatbots
Automating inventory queries and retrieval
Building custom inventory management solutions using the MCP framework
FAQ from Office Supplies Inventory NANDA Service
What is the required Python version?
What is the required Python version?
Python 3.9 or higher is required.
Where is the inventory data stored?
Where is the inventory data stored?
The inventory data is stored in a CSV file named inventory.csv.
How do I test the server locally?
How do I test the server locally?
Run the officesupply.py script after setting up the environment, and then use the MCP Inspector to test the available tools.
What is the URL format for the MCP Inspector?
What is the URL format for the MCP Inspector?
Enter your server URL with /sse at the end (e.g., http://localhost:8080/sse).
What are the required columns in the CSV file?
What are the required columns in the CSV file?
The server expects an inventory.csv file with at least the item_name column. Additional columns will be included in the item details returned by get_item_info.