Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Pipehero tunnels your localhost to a public URL and captures
every webhook, so you can inspect, replay, and debug them β including from your AI
agent via MCP.
This repo is auto-published from Pipehero's source. It holds the public MCP manifest and the agent skill. Issues/PRs welcome.
Let an agent (Claude Code, Cursor, Copilot, Windsurf, Zed, β¦) list your tunnels, read captured webhooks, and replay them to localhost.
Your client opens the browser to sign in and approve β no token to paste.
For CI/headless, pass a token from https://pipehero.app/dashboard/settings:
Any MCP client works β add it to .cursor/mcp.json, claude_desktop_config.json, etc.:
| Tool | What it does |
|---|---|
list_tunnels | Your tunnels and whether each is online. |
list_requests(subdomain) | Recent captured webhooks for a tunnel. |
get_request(subdomain, id) | Full request + response (headers + body). |
replay_request(subdomain, id) | Replay a webhook to your localhost. |
start_tunnel(name, port) | Expose a local port on a public URL (local MCP only). |
stop_tunnel(name) | Stop a tunnel started with start_tunnel (local MCP only). |
Because your agent has both the captured webhook and your codebase, it can explain why a handler failed β then fix it and replay to confirm.
Install the skill so your agent knows when and how to use Pipehero:
or copy SKILL.md into ~/.claude/skills/pipehero/SKILL.md.
MIT
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