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Office Supplies Inventory NANDA Service using MCP Server + NANDA…

@izzyfondu

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izzyfondu

Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client について

概要はまだありません

#office-supply#mcp-server#nanda-service

Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "office-supply-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client?

This service implements a NANDA service using Model Context Protocol (MCP) server code that provides information about office supplies inventory. It allows AI assistants to query and retrieve inventory data from a CSV file using the MCP standard. It is designed for developers who want to deploy a consumer-facing web app for any standard inventory using the same framework.

How to use Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client?

Set up the server locally by cloning the repository, creating a Python virtual environment or Conda environment, installing dependencies, and running python officesupply.py. The server listens on port 8080. Test with MCP Inspector by connecting via SSE to the /sse endpoint. Deploy to AWS AppRunner, register the server on NANDA Registry, then use it in a NANDA host client at nanda.mit.edu with an Anthropic API key.

Key features of Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client

  • Provides two tools: get_items (lists all item names) and get_item_info (retrieves details about a specific item).
  • Inventory data is stored in a CSV file with at least an item_name column.
  • Can be edited by modifying the CSV file to suit any inventory.
  • Supports local testing and cloud deployment (e.g., AWS AppRunner).
  • Integrates with NANDA Registry for discovery and NANDA host client for AI assistant interaction.

Use cases of Office Supplies Inventory NANDA Service using MCP Server + NANDA Registry + NANDA host client

  • An AI assistant helps employees quickly find office supplies and their details from a company inventory.
  • A school system deploys a similar service to allow students to look up library equipment availability.
  • A retailer uses the framework to provide an AI-powered product catalog for customer service chatbots.

よくある質問

1

What tools are available in this server?

Two tools are provided: `get_items` to list all item names, and `get_item_info` to retrieve detailed information about a specific item by name.

2

What are the runtime requirements?

Python 3.9 or higher is required. All dependencies are listed in `requirements.txt`.

3

Where is the inventory data stored?

The inventory data is stored in a local CSV file named `inventory.csv`. The server reads this file; you can edit it to change the inventory.

4

How can I test the server before deploying?

Run the server locally and use MCP Inspector with SSE transport type, connecting to `http://localhost:8080/sse`. Then test the available tools.

5

What transport and authentication does the server use?

The server uses SSE (Server-Sent Events) transport, indicated by the `/sse` endpoint. Authentication at the host level requires an Anthropic API key; the server itself does not have built-in authentication.

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