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 "

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

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