PolarHub
  • Agents
  • MCP Servers
  • Skills
  • PolarBear
PolarHub © 2026
MCP Serversweb-scrapingitemit-mcp
返回「web-scraping」

itemit-mcp

modelscope·@umin-ai/itemit-mcp

web-scraping0下载LocalModelScope

简介

暂无描述。

MCP Server 详情

来自 ModelScope 索引

itemit-mcp

itemit-mcp is an MCP server for asset tracking, providing a bridge between the itemit asset management API and the Model Context Protocol (MCP) ecosystem.

Built and maintained by the uminai MCP team.


Table of Contents

  • Overview
  • Prerequisites
  • Obtaining itemit API Credentials
  • Installation & Build
  • MCP Client Configuration
  • Environment Variables
  • Available MCP Tools
  • Example Usage
  • Response Format
  • Credits & Further Resources

Overview

itemit-mcp exposes a set of tools for interacting with the itemit asset management platform via the MCP protocol. It allows you to search, create, and manage assets and locations programmatically, making it easy to integrate itemit with other MCP-enabled systems. Following tools available:

  • Get List of items
  • Get item by name search
  • Create item
  • Location Search (With item list on it)

Prerequisites

  • Node.js (v16+ recommended)
  • Access to an itemit account (to obtain API credentials)
  • MCP Client (see uminai MCP for more info)

Obtaining itemit API Credentials

To use this MCP server, you need API credentials from itemit:

  • ITEMIT_API_KEY
  • ITEMIT_USER_ID
  • ITEMIT_USER_TOKEN
  • ITEMIT_WORKSPACE_ID

You can obtain these by signing up or logging in at itemit and following their API documentation or contacting their support.


Installation & Build

Clone this repository and install dependencies:

npm install

Build the project:

npm run build

MCP Client Configuration

Add the following to your MCP Client configuration (e.g., cline_mcp_settings.json):

{
  "mcpServers": {
    "itemit-mcp": {
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "node",
      "args": [
        "/Users/<user>/Documents/itemit-mcp/build/index.js"
      ],
      "env": {
        "ITEMIT_API_KEY": "<YOUR_API_KEY>",
        "ITEMIT_USER_ID": "<YOUR_USER_ID>",
        "ITEMIT_USER_TOKEN": "<YOUR_USER_TOKEN>",
        "ITEMIT_WORKSPACE_ID": "<YOUR_WORKSPACE_ID>"
      }
    }
  }
}

Replace the placeholder values with your actual itemit credentials.


Environment Variables

  • ITEMIT_API_KEY: Your itemit API key
  • ITEMIT_USER_ID: Your itemit user ID
  • ITEMIT_USER_TOKEN: Your itemit user token
  • ITEMIT_WORKSPACE_ID: Your itemit workspace ID

These can be set in your environment or in a .env file.


Available MCP Tools

1. get-location-by-name

  • Description: Get locations by name in itemit.
  • Parameters:
    • name (string, required): Name of the location to search for
    • limit (integer, optional): Number of locations to retrieve (default 25, max 100)
    • skip (integer, optional): Number of locations to skip (default 0)
  • Example:
    {
      "name": "Warehouse"
    }
    

2. search-item-by-name

  • Description: Search for items by name in itemit.
  • Parameters:
    • name (string, required): Name of the item to search for
    • size (integer, optional): Number of items to retrieve (default 15, max 100)
    • page (integer, optional): Page number (default 1)
  • Example:
    {
      "name": "Laptop"
    }
    

3. create-item

  • Description: Create an item in itemit.
  • Parameters:
    • name (string, required): Name of the item
    • description (string, required): Description of the item
    • serial (string, required): Serial number of the item
  • Example:
    {
      "name": "Projector",
      "description": "Epson HD Projector",
      "serial": "SN123456"
    }
    

4. get-reminders

  • Description: Get reminders from itemit.
  • Parameters: None

5. get-items

  • Description: Get items from itemit.
  • Parameters:
    • size (integer, optional): Number of items to retrieve (default 15, max 100)
  • Example:
    {
      "size": 10
    }
    

Example Usage

Use your MCP Client to invoke these tools. For example, to search for an item:

{
  "tool": "search-item-by-name",
  "arguments": {
    "name": "Laptop"
  }
}

Response Format

All responses are returned as structured text or JSON, matching the itemit API's data model. For example, a successful search might return:

{
  "content": [
    {
      "type": "text",
      "text": "Search results for \"Laptop\" (size=15):\n1. Dell XPS 13 (ID: 1234)\n2. MacBook Pro (ID: 5678)\n..."
    }
  ]
}

Credits & Further Resources

  • Project by the uminai MCP team.
  • Powered by itemit.
  • Discover more MCP servers and integrations at mcp.umin.ai.

相关 MCP Servers(来自「web-scraping」)

brightdata-com

暂无描述。

@brightdata-com/brightdata-mcp

hwillGIT

暂无描述。

@hwillGIT/onenote-mcp

imprvhub

暂无描述。

@imprvhub/mcp-browser-agent

OEvortex

暂无描述。

@OEvortex/ddg_search

opspawn

暂无描述。

@opspawn/Google-Flights-MCP-Server

OvertliDS

暂无描述。

@OvertliDS/mcp-searxng-enhanced

自动安装

点击按钮会唤起 PolarBear 客户端,并把当前 MCP Server 的 Markdown 详情文档地址传给客户端。

/api/mcps/umin-ai-itemit-mcp/markdown
打开 PolarBear 安装查看 Markdown 文档

手动安装

在 PolarBear 或其他支持 MCP 的客户端中,新建 MCP Server,并参考下方来源或安装提示配置。

npm install

基本信息

分类
web-scraping / search / app-automation
运行方式
No
许可证
Unknown
详情文件
umin-ai-itemit-mcp.md