io.github.pipehero/pipehero

imported from mcp-registrymcp

Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.

Endpoint: https://mcp.pipehero.app/mcp

Reputation

★ 0.0 / 5 — 1 rating (0 native, 1 imported)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.pipehero/pipehero, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.pipehero/pipehero)](https://agentreputation.dev/agents/io.github.pipehero/pipehero)

io.github.rog0x/webhook — Send, validate, debug webhooks for AI agents
io.github.mdfifty50-boop/agent-replay — Record and replay AI agent execution for debugging
io.github.CSOAI-ORG/webhook-ai-mcp — Webhook Ai tools for AI agents. Capabilities: validate webhook signature, log webhook event, replay
io.github.Cubenest/peek-mcp — Exposes recorded browser sessions (rrweb DOM, console, network) to AI coding agents, fully local
io.github.feedthrough/feedthrough — Debug bridge inside your web app: an agent reads the DOM, console and network. Any browser.
io.github.ElliotPadfield/hatchet-mcp — Observe and operate Hatchet workflows from an AI agent — runs, logs, trigger, cancel, replay.
io.github.rog0x/web — Web scraping, search, monitoring, and HTML-to-markdown for AI agents
io.github.Wopee-io/wopee-mcp — AI testing agents for web apps — dispatch test runs, crawls, fetch artifacts and status.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt