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Office Supplies Inventory NANDA Service using MCP Server + NANDA…

@phoenix-kd

代码仓库

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stdio

作者

phoenix-kd

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

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

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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.

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