# Provar DX

> Use this tool when you need to automate testing for Salesforce applications, streamline test case creation, and integrate with AI assistants for efficient quality assurance. Provar DX provides a comprehensive suite of 35+ tools to inspect, generate, and run tests, as well as validate hierarchies. It offers a seamless interface for AI agents to access project structures, Page Objects, and Quality Hub integrations, making it ideal for large-scale Salesforce deployments.

Canonical page: https://skillsregistry.net/skills/provar-dx  
JSON: https://api.skillsregistry.net/v1/skills/provar-dx

## Description

Provar DX CLI is Salesforce's leading test automation tool that includes a built-in MCP server, giving AI assistants direct access to Provar project structure, Page Objects, test cases, and Quality Hub integrations. Exposes 35+ tools for inspecting and generating Salesforce test assets, running tests, and validating hierarchies. Connects to Claude Desktop, Cursor, and other MCP clients without additional setup.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/provar-dx)
- **Repository:** <https://github.com/provartesting/provardx-cli>

## 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": "provar-dx"
    }
  }
}
```

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