# ghost-inspector-mcp

> ghost-inspector-mcp — charliemtnez-ghost-inspector-mcp. Use this tool when you need to manage and analyze end-to-end browser tests, as it provides read-only access to inventory, module usage, and stale test analysis, and optional write operations for test management. It solves problems related to test inspection, optimization, and maintenance, and accepts inputs such as test configurations and outputs test results and analytics. Ideal for use cases where automated testing and quality assurance are crucial, such as in software development and deployment pipelines.

Canonical page: https://skillsregistry.net/skills/charliemtnez-ghost-inspector-mcp  
JSON: https://api.skillsregistry.net/v1/skills/charliemtnez-ghost-inspector-mcp

## Description

MCP server for the Ghost Inspector API that lets agents inspect and manage end-to-end browser tests, offering read-only tools for inventory, module usage, and stale test analysis, plus opt-in guarded write operations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u1e7jm14ip)
- **Repository:** <https://github.com/charliemtnez/ghost-inspector-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": "charliemtnez-ghost-inspector-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/charliemtnez-ghost-inspector-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/charliemtnez-ghost-inspector-mcp/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