Admin Inventory Management MCP Server

Admin Inventory Management MCP Server

Enables Claude Desktop to manage office inventory through natural language, including adding items, issuing stock, checking availability, and low-stock alerts.

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πŸ“¦ Admin Inventory Management – Remote MCP Server

A production-ready Remote MCP (Model Context Protocol) Server built using FastMCP, enabling Claude Desktop to manage office inventory using natural language.

🌐 Live Endpoint: https://admin-inventory-management-remote-mcp.onrender.com/


πŸš€ Project Overview

This project implements an AI-powered Office Admin Inventory Management System using the Model Context Protocol (MCP).

It allows Claude Desktop to:

  • Add inventory items
  • Issue stock
  • Check stock availability
  • List all items
  • Trigger low-stock alerts

All operations are executed via structured tool calls and backed by a persistent database.


🧠 Architecture

πŸ”Ή Local Architecture

Claude Desktop
      ↓ (stdio MCP)
FastMCP Server
      ↓
SQLite Database

πŸ”Ή Remote Architecture (Production)

Claude Desktop
      ↓ (HTTPS MCP Protocol)
Remote FastMCP Server (Render)
      ↓
SQLite Database

πŸ› οΈ Tech Stack

  • FastMCP – MCP server implementation
  • SQLAlchemy – ORM for database interaction
  • SQLite – Persistent storage
  • Docker – Containerization
  • Render – Cloud deployment
  • Claude Desktop – LLM client

βš™οΈ How It Was Built

1️⃣ MCP Tool-Based Server

Inventory operations are exposed as structured tools:

@mcp.tool()
def add_item(name: str, category: str, quantity: int, min_threshold: int):

Each tool:

  • Validates inputs
  • Executes deterministic business logic
  • Updates the database
  • Returns structured output

2️⃣ Database Layer

Built using SQLAlchemy ORM.

Item Model Fields:

  • name
  • category
  • quantity
  • min_threshold

This ensures persistent and reliable inventory tracking.


3️⃣ HTTP Transport Mode

Converted from local stdio transport to HTTP transport for remote deployment:

mcp.run(
    transport="http",
    host="0.0.0.0",
    port=port
)

This allows Claude to communicate securely over HTTPS.


4️⃣ Dockerized Deployment

Dockerfile used for containerization:

FROM python:3.11-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["python", "server.py"]

Deployed as a Web Service on Render.


🌐 Live Endpoint Behavior

Opening the URL in a browser may show:

Not Found

This is expected behavior.

MCP servers expose protocol endpoints β€” not web UI routes.


πŸ”— How to Configure in Claude Desktop

Step 1: Open Claude Settings

Go to:

Settings β†’ Developer β†’ MCP Servers

Step 2: Edit Claude Configuration File

Windows:

%APPDATA%\Claude\claude_desktop_config.json

Mac:

~/Library/Application Support/Claude/claude_desktop_config.json

Step 3: Add Remote MCP Server Configuration

{
  "mcpServers": {
    "admin-inventory-remote": {
      "transport": "http",
      "url": "https://admin-inventory-management-remote-mcp.onrender.com"
    }
  }
}

Step 4: Restart Claude Desktop

Claude will automatically:

  • Discover available tools
  • Enable natural language inventory management

πŸ§ͺ Example Usage in Claude

You can now say:

  • β€œAdd 200 ball pens in Stationery category with threshold 40.”
  • β€œIssue 30 ball pens.”
  • β€œCheck stock of printer paper.”
  • β€œList all items in inventory.”

Claude will:

  1. Interpret intent
  2. Select appropriate MCP tool
  3. Send structured arguments
  4. Execute backend logic
  5. Return updated inventory status

🎯 Key Design Principles

πŸ”Ή Separation of Concerns

  • LLM handles reasoning
  • MCP handles structured execution
  • Database ensures persistence

πŸ”Ή Deterministic Backend

The LLM does not directly manipulate the database. All operations pass through validated business logic.

πŸ”Ή Secure Protocol Communication

Claude communicates with the server using MCP over HTTPS.

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