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Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
About
Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
Remote endpoints: streamable-http: https://mcp.pipehero.app/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
4 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipehero-pipehero": {
"url": "https://mcp.pipehero.app/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Pipehero — MCP server + skill
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.
This repo is auto-published from Pipehero's source. It holds the public MCP manifest and the agent skill. Issues/PRs welcome.
- 🌐 Website: https://pipehero.app
- 📚 Docs: https://pipehero.app/docs
Connect the MCP server
Let an agent (Claude Code, Cursor, Copilot, Windsurf, Zed, …) list your tunnels, read captured webhooks, and replay them to localhost.
Remote — recommended (no install, OAuth)
claude mcp add --transport http pipehero https://mcp.pipehero.app/mcp
Your client opens the browser to sign in and approve — no token to paste.
For CI/headless, pass a token from https://pipehero.app/dashboard/settings:
claude mcp add --transport http pipehero https://mcp.pipehero.app/mcp \
--header "Authorization: Bearer <token>"
Local — via the CLI
curl -fsSL https://pipehero.app/install | sh
pipehero login
claude mcp add pipehero -- pipehero mcp
Any MCP client works — add it to .cursor/mcp.json, claude_desktop_config.json, etc.:
{ "mcpServers": { "pipehero": { "command": "pipehero", "args": ["mcp"] } } }
Tools
| 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 — then fix it and replay to confirm.
Skill
Install the skill so your agent knows when and how to use Pipehero:
pipehero skill install
or copy SKILL.md into ~/.claude/skills/pipehero/SKILL.md.
License
MIT
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