# itemit

> Use this tool when you need to programmatically track and manage physical assets and locations, solving inventory management and asset auditing problems. It provides a robust API interface for searching, creating, and managing assets, with inputs including itemit credentials and outputs featuring structured JSON responses with detailed asset metadata. Ideal for building AI assistants that require automated access to asset management platforms, streamlining workflows and reducing manual dashboard navigation.

Canonical page: https://skillsregistry.net/skills/umin-ai-itemit  
JSON: https://api.skillsregistry.net/v1/skills/umin-ai-itemit

## Description

This MCP server provides asset tracking capabilities through the itemit API, enabling AI assistants to search, create, and manage physical assets and locations programmatically. Built by the uminai MCP team using TypeScript with the Model Context Protocol SDK, it offers item search by name with pagination, location lookup with associated item listings, item creation with name/description/serial fields, reminder retrieval, and general item listing with configurable limits. The implementation features comprehensive API authentication using itemit credentials (API key, user ID, user token, workspace ID), structured JSON responses with detailed asset metadata, and robust error handling for failed API requests, making it valuable for inventory management workflows, asset auditing processes, and building AI assistants that need programmatic access to itemit's asset management platform without manual dashboard navigation.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/umin-ai-itemit)
- **Repository:** <https://github.com/umin-ai/itemit-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "umin-ai-itemit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/umin-ai-itemit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/umin-ai-itemit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt