# MCP-Automation-Sandbox

> MCP-Automation-Sandbox — exploring-curiosity-mcp-automation-sandbox. Use this tool when you need to automate end-to-end testing of APIs using OpenAPI/Swagger specs, to ensure seamless integration and reduce mock test failures in production. It takes GitHub repository URLs as input, generates and deploys MCP servers and upstream APIs, and outputs validation results through an AI agent. Ideal for use cases where reliable integration testing is crucial, such as pre-deployment validation or continuous integration pipelines.

Canonical page: https://skillsregistry.net/skills/exploring-curiosity-mcp-automation-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/exploring-curiosity-mcp-automation-sandbox

## Description

Agentic Integration testing. No more write mock tests that fail at prod. Test Pilot takes GitHub repository URLs containing OpenAPI/Swagger specs, generates MCP (Model Context Protocol) servers, deploys them and the upstream APIs to Blaxel, then runs an AI agent to validate everything end-to-end.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/exploring-curiosity/MCP-Automation-Sandbox)

## 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": "exploring-curiosity-mcp-automation-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/exploring-curiosity-mcp-automation-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/exploring-curiosity-mcp-automation-sandbox/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
