# pipehero

> pipehero — alberto-0ay6-pipehero. Use this tool when you need to expose your local development environment to public webhooks and inspect or debug incoming requests. Pipehero solves the problem of testing and verifying webhook integrations by capturing and replaying requests, providing a public URL and MCP interface for AI agents to interact with. It takes in localhost traffic and webhook requests, outputting inspectable and replayable requests for debugging purposes.

Canonical page: https://skillsregistry.net/skills/alberto-0ay6-pipehero  
JSON: https://api.skillsregistry.net/v1/skills/alberto-0ay6-pipehero

## Description

Pipehero tunnels your localhost to a public URL and captures every webhook, so you can inspect, replay, and debug them — including from your AI agent via MCP.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/alberto-0ay6/pipehero)

## 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": "alberto-0ay6-pipehero"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alberto-0ay6-pipehero` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alberto-0ay6-pipehero/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