# PartSmart Automation

> Use this tool when you need to automate interactions with the PartSmart industrial parts web application, such as navigating catalogs, searching inventory, or automating parts lookup workflows. It provides a Playwright-based browser automation interface that exposes PartSmart UI interactions as callable tools for AI-driven parts research. Ideal for streamlining parts research and inventory management tasks, this tool enables efficient automation of repetitive workflows.

Canonical page: https://skillsregistry.net/skills/poojasharmaari-partsmart  
JSON: https://api.skillsregistry.net/v1/skills/poojasharmaari-partsmart

## Description

Provides Playwright-based browser automation for the PartSmart industrial parts web application, with tools for navigating parts catalogs, searching inventory, and automating parts lookup workflows. Exposes PartSmart UI interactions as callable MCP tools for AI-driven parts research.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/poojasharmaari-partsmart)
- **Repository:** <https://github.com/poojasharmaari/mcp-partsmart-tools>

## 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": "poojasharmaari-partsmart"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/poojasharmaari-partsmart` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/poojasharmaari-partsmart/pull`

---
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
