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Office Supplies Inventory NANDA Service using MCP Server + NANDA…

@phoenix-kd

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Basic information

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Other

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stdio

Author

phoenix-kd

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

just a demo mcp server

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

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "demo-mcp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

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

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

This service uses Model Context Protocol (MCP) server code to provide information about office supplies inventory from a CSV file. It allows AI assistants to query and retrieve inventory data using the MCP standard, with no local server installation needed when used with the cloud-hosted version and web-based NANDA host client.

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

Set up locally by cloning the repository, creating a Python virtual environment (using venv or Conda), installing dependencies from requirements.txt, and running python officesupply.py. Test with MCP Inspector using SSE transport at http://localhost:8080/sse. For cloud deployment, deploy to AWS AppRunner using the provided build.sh and run.sh scripts. Register the server on the NANDA Registry, then use it in the 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 MCP tools: get_items and get_item_info
  • Reads inventory data from a CSV file
  • Designed for deployment on AWS AppRunner
  • Registers on the NANDA Registry for discovery
  • Works with the web-based NANDA host client
  • Adaptable to any standard inventory by editing the CSV file

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

  • Allow AI assistants to list all available office supplies
  • Retrieve detailed information about a specific item by name
  • Build consumer-facing web apps for any CSV-based inventory
  • Enable cloud-hosted inventory queries without local setup

Frequently asked questions

1

What are the prerequisites for running this server?

Python 3.9 or higher and the dependencies listed in `requirements.txt` are required.

2

How is the inventory data stored and managed?

Data is stored in a CSV file (`inventory.csv`) that must include at least an `item_name` column. Additional columns are returned as part of item details.

3

How do I test the server locally?

Run `python officesupply.py`, then use the MCP Inspector with SSE transport connecting to `http://localhost:8080/sse` to test the `get_items` and `get_item_info` tools.

4

How do I deploy this server to the cloud?

Deploy to AWS AppRunner by providing the source code repository, using Python 3.11 runtime, build command `./build.sh`, run command `./run.sh`, and port 8080.

5

How do I use the server with an AI assistant?

Register the server on the NANDA Registry, then add it in the NANDA host client at `nanda.mit.edu` with your Anthropic API key to query inventory.

Comments

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