Pipehero is a remote MCP server that gives an AI agent 7 tools, among them get_request, list_requests, list_tunnels. It answers at https://mcp.pipehero.app/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 23 October 2026, succeeded.
Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
get_request | Get the full request and response (headers + body) of one captured webhook by id. Inputs: id, subdomain |
list_requests | List recent webhooks/requests captured for a tunnel. Returns id, method, path, status and bodies. Inputs: subdomain |
list_tunnels | List the user's Pipehero tunnels and whether each is currently online. |
replay_request | Replay a captured webhook to the user's localhost (the tunnel CLI must be running). Inputs: id, subdomain |
send_test_webhook | Send a generated test webhook to the user's localhost (the tunnel CLI must be running). Provide a `provider` (stripe, github, shopify, clerk, slack, resend, paddle, polar, lemonsqueezy) and optional `event` for a realistic sample payload, o Inputs: body, event, provider, subdomain |
set_long_requests | Opt a tunnel into a 120-second ingress timeout instead of the 30-second default — for tool calls that legitimately run long, e.g. an MCP server exposed through the tunnel. Persists on the tunnel; pass enabled: false to revert to the 30-seco Inputs: enabled, subdomain |
set_ws_passthrough | Opt a tunnel into WebSocket passthrough, so an application-level WebSocket connection (e.g. a mobile/web app's own realtime feature) can be relayed to your localhost. Pro/Team plan required to enable; pass enabled: false to disable on any p Inputs: enabled, subdomain |
Every block below points at https://mcp.pipehero.app/mcp. Pick your client and copy.
claude mcp add --transport http pipehero https://mcp.pipehero.app/mcp
{
"mcpServers": {
"pipehero": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.pipehero.app/mcp"]
}
}
}{
"mcpServers": {
"pipehero": {
"url": "https://mcp.pipehero.app/mcp"
}
}
}{
"servers": {
"pipehero": {
"type": "http",
"url": "https://mcp.pipehero.app/mcp"
}
}
}{
"context_servers": {
"pipehero": {
"url": "https://mcp.pipehero.app/mcp"
}
}
}{
"mcpServers": {
"pipehero": {
"serverUrl": "https://mcp.pipehero.app/mcp"
}
}
}{
"mcpServers": {
"pipehero": {
"url": "https://mcp.pipehero.app/mcp"
}
}
}name: Pipehero
version: 0.0.1
schema: v1
mcpServers:
- name: Pipehero
type: streamable-http
url: https://mcp.pipehero.app/mcp{
"mcpServers": {
"pipehero": {
"httpUrl": "https://mcp.pipehero.app/mcp"
}
}
}{
"mcpServers": {
"pipehero": {
"type": "http",
"url": "https://mcp.pipehero.app/mcp"
}
}
}{
"mcpServers": {
"pipehero": {
"url": "https://mcp.pipehero.app/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.pipehero.app%2Fmcp&type=streamable_http&id=pipehero&name=Pipehero
It answered our last check on 23 October 2026 in 289 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
7, as returned by the server's own tools/list on 17 September 2026: get_request, list_requests, list_tunnels, replay_request, send_test_webhook, set_long_requests, set_ws_passthrough.
It answered our last check on 23 October 2026 in 289 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.pipehero.app/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.pipehero. Endpoint host: mcp.pipehero.app. ARD identifier: urn:air:io.github.pipehero:mcp:pipehero.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.