How is access authenticated?

Pipepie uses a Noise NK cryptographic handshake with a server key; the README states that tokens and passwords are not required.

Can I inspect and replay webhooks?

Yes. The CLI supports request logs, full request inspection, and replaying captured requests.

Which AI clients can use the built-in MCP server?

The README specifically mentions Claude and Cursor, along with other AI tools.

Does Pipepie trace AI provider webhooks automatically?

Yes. It detects webhook formats from Replicate, fal.ai, RunPod, Modal, OpenAI, and MCP, then correlates related webhooks into traces.

Pipepie

webhookstunnelingencryptionpipeline-tracingdeveloper-tools

Self-hosted encrypted webhook tunnels with request inspection, replay, pipeline tracing, and built-in MCP access.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾

No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for pipepie/pipepie, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.

Overview

Pipepie relays local HTTP or TCP services through a self-hosted server using Noise NK encryption, yamux multiplexing, Protobuf, and zstd. Its built-in MCP server lets Claude, Cursor, and other AI tools inspect requests, replay webhooks, manage tunnels, and view pipeline traces. Use it when you need encrypted local development tunnels, webhook debugging, or AI pipeline observability under your own infrastructure.

Use cases

Expose a local HTTP or TCP service through a self-hosted tunnel

Inspect captured webhook headers, bodies, and metadata

Replay webhook requests during development or debugging

Trace correlated AI provider webhook pipelines

Manage tunnels and request data from an MCP-compatible client

Key features

Noise NK end-to-end encryption

HTTP and TCP tunnels with optional stable subdomains

Webhook logs, inspection, replay, and dashboard access

Automatic tracing for Replicate, fal.ai, RunPod, Modal, OpenAI, and MCP webhooks

Built-in MCP server with 13 tools

Multi-tunnel YAML configuration and multi-account support

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Pipepie.

Extracted Tool Capabilities

Noise NK end-to-end encryption

HTTP and TCP tunnels with optional stable subdomains

Webhook logs, inspection, replay, and dashboard access

Automatic tracing for Replicate, fal.ai, RunPod, Modal, OpenAI, and MCP webhooks

Built-in MCP server with 13 tools

Multi-tunnel YAML configuration and multi-account support

Documentation Overview

Pipepie

Self-hosted, encrypted tunnel for webhooks, AI pipelines, and local development. End-to-end Noise encryption, pipeline tracing, web dashboard.

pipepie connect

bash

pie connect 3000
# ✓ https://my-app.tunnel.dev → localhost:3000

Why Pipepie?

End-to-end encrypted — Noise NK protocol. The relay server never sees your data.
AI-first — auto-detects Replicate, fal.ai, RunPod, Modal, OpenAI webhooks. Pipeline tracing with timeline visualization.
Self-hosted — your server, your domain, your data. No vendor lock-in.
Fast — 577 req/s parallel, 2ms overhead. Protobuf + zstd + yamux.
MCP server built-in — pie mcp gives Claude, Cursor, and AI tools direct access to tunnels, requests, and pipeline traces.
Beautiful CLI — Dracula theme, interactive forms, 17 commands.
Zero-config start — pie setup on server, pie login on client, done.

Install

bash

# Homebrew
brew install pipepie/tap/pipepie

# Script
curl -sSL https://raw.githubusercontent.com/pipepie/pipepie/main/install.sh | sh

# Or build from source
git clone https://github.com/pipepie/pipepie && cd pipepie && make build

Quick Start

Server (your VPS, one time)

bash

pie setup

Interactive wizard handles DNS, firewall, TLS (Let's Encrypt auto or Cloudflare), nginx detection, systemd service — everything.

Client (your dev machine)

bash

# Save server connection (key from pie setup)
pie login --server tunnel.mysite.com:9443 --key a7f3bc21...

# Tunnel any local port
pie connect 3000

AI Tool Presets

bash

pie connect --ollama       # Ollama (port 11434, auth enabled)
pie connect --comfyui      # ComfyUI (port 8188, WebSocket)
pie connect --n8n          # n8n workflows (port 5678)
pie connect --tma          # Telegram Mini App (port 5173)

Features

Tunneling

bash

pie connect 3000                    # HTTP tunnel
pie connect 3000 --name my-app     # Stable subdomain
pie connect --tcp 5432              # TCP (databases, gRPC)
pie connect 3000 --auth secret      # Password-protected URL
pie up                              # Multi-tunnel from pipepie.yaml

Webhook Inspection

pipepie logs

bash

pie logs my-app --follow --body     # Stream with request/response bodies
pie inspect <request-id>            # Full headers, body, metadata
pie replay <request-id>             # Re-send a captured webhook
pie dashboard                       # Open web UI in browser

AI Pipeline Tracing

Pipepie auto-detects webhooks from AI providers — no configuration needed:

Provider	Detection	What's extracted
Replicate	`webhook-id` header + payload	Job ID, status, predict_time
fal.ai	`x-fal-signature` header	Request ID, status
RunPod	UPPERCASE status in payload	Run ID, execution time
Modal	`call_id` in payload	Call ID, status
OpenAI	`batch_` prefix in ID	Batch ID, model
MCP	JSON-RPC 2.0 `method` field	Tool name, call ID

Webhooks from the same pipeline are auto-correlated into traces:

bash

pie traces my-app                   # Terminal timeline view
pie dashboard                       # Web UI with Jaeger-style bars

Or use headers for manual correlation:

Terminal

curl -X POST https://my-app.tunnel.dev/webhook \
  -H "X-Pipepie-Pipeline: image-gen" \
  -H "X-Pipepie-Step: generate" \
  -H "X-Pipepie-Trace-ID: trace-001"

Multi-Service Config

yaml

# pipepie.yaml
server: tunnel.mysite.com:9443
key: a7f3bc21...

tunnels:
  api:
    subdomain: my-api
    forward: http://localhost:3000
  frontend:
    subdomain: my-app
    port: 5173

pipeline:
  name: image-gen
  steps:
    - name: replicate-sdxl
      webhook: /replicate
      forward: localhost:3000/on-image
    - name: fal-upscale
      webhook: /fal
      forward: localhost:3000/on-upscale

bash

pie up

Multi-Account

bash

pie login --server work.example.com:9443 --key abc...
pie login --server personal.example.com:9443 --key def...

pie account                         # List all, see active
pie account use work.example.com    # Switch
pie logout personal.example.com     # Remove

Server Management

pipepie status

bash

pie setup                           # Interactive setup wizard
pie server --config pipepie.yaml    # Start server
pie doctor --config pipepie.yaml    # Diagnose configuration
pie status                          # Tunnel overview
pie status --json                   # JSON output for scripts

Architecture

Code

Client (pie connect)                    Server (pie server)
     │                                       │
     │◄──── Noise NK handshake ────►│
     │       (ChaChaPoly + BLAKE2b)          │
     │                                       │
     │◄──── yamux multiplexing ────►│
     │       (parallel streams)              │
     │                                       │
     │◄──── Protobuf + zstd ──────►│
     │       (binary, compressed)            │
     │                                       │
  localhost:3000              https://sub.domain.com

Noise NK — server authenticated by public key. Know the key = have access. yamux — multiplexed streams, no head-of-line blocking. Protobuf — binary wire format, ~10x smaller than JSON. zstd — bodies >1KB auto-compressed. SSE/streaming — pass-through without buffering (Vercel AI SDK, Ollama compatible).

MCP Server (Claude, Cursor, AI tools)

Pipepie includes a built-in Model Context Protocol server. Your AI tools can inspect webhooks, replay requests, manage tunnels, and debug pipelines — directly from the chat.

bash

# Claude Code (one command)
claude mcp add --transport stdio pipepie -- pie mcp

Claude Desktop / Cursor config

Add to claude_desktop_config.json or Cursor MCP settings:

config.json

{
  "mcpServers": {
    "pipepie": {
      "command": "pie",
      "args": ["mcp"]
    }
  }
}

13 tools available:

Tool	What it does
`overview`	Dashboard with all tunnels, stats, success rates
`list_tunnels`	All registered tunnels with online/offline status
`tunnel_status`	Check if a specific tunnel is online
`connect`	Start a tunnel (e.g. port 3000 → public URL)
`disconnect`	Stop a running tunnel
`active_tunnels`	List tunnels running in this session
`list_requests`	Recent webhook requests for a tunnel
`inspect_request`	Full request details: headers, body, response
`replay_request`	Re-send a captured webhook
`pipeline_traces`	AI pipeline execution traces
`trace_timeline`	Step-by-step timeline for a trace
`create_tunnel`	Register a new subdomain
`delete_tunnel`	Remove a tunnel and its data

CLI Reference

Command	Description
`pie connect [port]`	Create a tunnel
`pie connect --tcp [port]`	TCP tunnel
`pie connect --ollama`	Ollama preset
`pie connect --comfyui`	ComfyUI preset
`pie connect --n8n`	n8n preset
`pie connect --tma`	Telegram Mini App preset
`pie login`	Add server connection
`pie logout`	Remove account
`pie account`	List & switch accounts
`pie dashboard`	Open web UI in browser
`pie status`	Show tunnels and activity
`pie logs [name]`	Stream requests
`pie inspect [id]`	Full request details
`pie replay [id]`	Replay a webhook
`pie traces [name]`	Pipeline trace timelines
`pie up`	Multi-tunnel from pipepie.yaml
`pie setup`	Server setup wizard
`pie server`	Start relay server
`pie doctor`	Diagnose server config
`pie mcp`	Start MCP server for AI tools
`pie update`	Self-update to latest
`pie version`	Version + update check

Performance

Metric	Result
Latency	2ms overhead
Sequential	119 req/s
Parallel (20 workers)	577 req/s
1MB body	16ms

What makes Pipepie different

Self-hosted & open source — your infrastructure, your data, no third-party traffic inspection
End-to-end encrypted — Noise NK protocol, the relay server never sees plaintext
AI-native — auto-detects 6 providers, pipeline tracing, MCP support
Complete toolkit — tunneling + inspection + replay + dashboard in one binary
Free forever — no bandwidth limits, no session timeouts, no paid tiers for core features

License

AGPL-3.0 — free to use, modify, and self-host. If you modify and offer as a service, you must open-source your changes.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Communication View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

5mo ago

Most recent push to the default branch.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Pipepie

It tunnels local HTTP services and can also forward TCP services such as databases or gRPC.

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Technical Specs & Signals

CategoryCommunication

PricingFree

9/10 checks healthy over the last 32d

44Quality signal: Fair · 44/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools20/30

Adoption & activity3/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💬 Communication →Best MCP servers for Slack & Communication →Alternatives to Pipepie →Install in Claude Desktop Install in Cursor Install in VS Code

Pipepie

webhookstunnelingencryptionpipeline-tracingdeveloper-tools

Self-hosted encrypted webhook tunnels with request inspection, replay, pipeline tracing, and built-in MCP access.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Manual Client & Custom JSON ConfigExpand JSON ▾

Overview

Use cases

Expose a local HTTP or TCP service through a self-hosted tunnel

Inspect captured webhook headers, bodies, and metadata

Replay webhook requests during development or debugging

Trace correlated AI provider webhook pipelines

Manage tunnels and request data from an MCP-compatible client

Key features

Noise NK end-to-end encryption

HTTP and TCP tunnels with optional stable subdomains

Webhook logs, inspection, replay, and dashboard access

Automatic tracing for Replicate, fal.ai, RunPod, Modal, OpenAI, and MCP webhooks

Built-in MCP server with 13 tools

Multi-tunnel YAML configuration and multi-account support

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Pipepie.

Extracted Tool Capabilities

Noise NK end-to-end encryption

HTTP and TCP tunnels with optional stable subdomains

Webhook logs, inspection, replay, and dashboard access

Automatic tracing for Replicate, fal.ai, RunPod, Modal, OpenAI, and MCP webhooks

Built-in MCP server with 13 tools

Multi-tunnel YAML configuration and multi-account support

Documentation Overview

Pipepie

Self-hosted, encrypted tunnel for webhooks, AI pipelines, and local development. End-to-end Noise encryption, pipeline tracing, web dashboard.

pipepie connect

bash

pie connect 3000
# ✓ https://my-app.tunnel.dev → localhost:3000

Why Pipepie?

End-to-end encrypted — Noise NK protocol. The relay server never sees your data.
AI-first — auto-detects Replicate, fal.ai, RunPod, Modal, OpenAI webhooks. Pipeline tracing with timeline visualization.
Self-hosted — your server, your domain, your data. No vendor lock-in.
Fast — 577 req/s parallel, 2ms overhead. Protobuf + zstd + yamux.
MCP server built-in — pie mcp gives Claude, Cursor, and AI tools direct access to tunnels, requests, and pipeline traces.
Beautiful CLI — Dracula theme, interactive forms, 17 commands.
Zero-config start — pie setup on server, pie login on client, done.

Install

bash

# Homebrew
brew install pipepie/tap/pipepie

# Script
curl -sSL https://raw.githubusercontent.com/pipepie/pipepie/main/install.sh | sh

# Or build from source
git clone https://github.com/pipepie/pipepie && cd pipepie && make build

Quick Start

Server (your VPS, one time)

bash

pie setup

Interactive wizard handles DNS, firewall, TLS (Let's Encrypt auto or Cloudflare), nginx detection, systemd service — everything.

Client (your dev machine)

bash

# Save server connection (key from pie setup)
pie login --server tunnel.mysite.com:9443 --key a7f3bc21...

# Tunnel any local port
pie connect 3000

AI Tool Presets

bash

pie connect --ollama       # Ollama (port 11434, auth enabled)
pie connect --comfyui      # ComfyUI (port 8188, WebSocket)
pie connect --n8n          # n8n workflows (port 5678)
pie connect --tma          # Telegram Mini App (port 5173)

Features

Tunneling

bash

pie connect 3000                    # HTTP tunnel
pie connect 3000 --name my-app     # Stable subdomain
pie connect --tcp 5432              # TCP (databases, gRPC)
pie connect 3000 --auth secret      # Password-protected URL
pie up                              # Multi-tunnel from pipepie.yaml

Webhook Inspection

pipepie logs

bash

pie logs my-app --follow --body     # Stream with request/response bodies
pie inspect <request-id>            # Full headers, body, metadata
pie replay <request-id>             # Re-send a captured webhook
pie dashboard                       # Open web UI in browser

AI Pipeline Tracing

Pipepie auto-detects webhooks from AI providers — no configuration needed:

Provider	Detection	What's extracted
Replicate	`webhook-id` header + payload	Job ID, status, predict_time
fal.ai	`x-fal-signature` header	Request ID, status
RunPod	UPPERCASE status in payload	Run ID, execution time
Modal	`call_id` in payload	Call ID, status
OpenAI	`batch_` prefix in ID	Batch ID, model
MCP	JSON-RPC 2.0 `method` field	Tool name, call ID

Webhooks from the same pipeline are auto-correlated into traces:

bash

pie traces my-app                   # Terminal timeline view
pie dashboard                       # Web UI with Jaeger-style bars

Or use headers for manual correlation:

Terminal

curl -X POST https://my-app.tunnel.dev/webhook \
  -H "X-Pipepie-Pipeline: image-gen" \
  -H "X-Pipepie-Step: generate" \
  -H "X-Pipepie-Trace-ID: trace-001"

Multi-Service Config

yaml

# pipepie.yaml
server: tunnel.mysite.com:9443
key: a7f3bc21...

tunnels:
  api:
    subdomain: my-api
    forward: http://localhost:3000
  frontend:
    subdomain: my-app
    port: 5173

pipeline:
  name: image-gen
  steps:
    - name: replicate-sdxl
      webhook: /replicate
      forward: localhost:3000/on-image
    - name: fal-upscale
      webhook: /fal
      forward: localhost:3000/on-upscale

bash

pie up

Multi-Account

bash

pie login --server work.example.com:9443 --key abc...
pie login --server personal.example.com:9443 --key def...

pie account                         # List all, see active
pie account use work.example.com    # Switch
pie logout personal.example.com     # Remove

Server Management

pipepie status

bash

pie setup                           # Interactive setup wizard
pie server --config pipepie.yaml    # Start server
pie doctor --config pipepie.yaml    # Diagnose configuration
pie status                          # Tunnel overview
pie status --json                   # JSON output for scripts

Architecture

Code

Client (pie connect)                    Server (pie server)
     │                                       │
     │◄──── Noise NK handshake ────►│
     │       (ChaChaPoly + BLAKE2b)          │
     │                                       │
     │◄──── yamux multiplexing ────►│
     │       (parallel streams)              │
     │                                       │
     │◄──── Protobuf + zstd ──────►│
     │       (binary, compressed)            │
     │                                       │
  localhost:3000              https://sub.domain.com

MCP Server (Claude, Cursor, AI tools)

Pipepie includes a built-in Model Context Protocol server. Your AI tools can inspect webhooks, replay requests, manage tunnels, and debug pipelines — directly from the chat.

bash

# Claude Code (one command)
claude mcp add --transport stdio pipepie -- pie mcp

Claude Desktop / Cursor config

Add to claude_desktop_config.json or Cursor MCP settings:

config.json

{
  "mcpServers": {
    "pipepie": {
      "command": "pie",
      "args": ["mcp"]
    }
  }
}

13 tools available:

Tool	What it does
`overview`	Dashboard with all tunnels, stats, success rates
`list_tunnels`	All registered tunnels with online/offline status
`tunnel_status`	Check if a specific tunnel is online
`connect`	Start a tunnel (e.g. port 3000 → public URL)
`disconnect`	Stop a running tunnel
`active_tunnels`	List tunnels running in this session
`list_requests`	Recent webhook requests for a tunnel
`inspect_request`	Full request details: headers, body, response
`replay_request`	Re-send a captured webhook
`pipeline_traces`	AI pipeline execution traces
`trace_timeline`	Step-by-step timeline for a trace
`create_tunnel`	Register a new subdomain
`delete_tunnel`	Remove a tunnel and its data

CLI Reference

Command	Description
`pie connect [port]`	Create a tunnel
`pie connect --tcp [port]`	TCP tunnel
`pie connect --ollama`	Ollama preset
`pie connect --comfyui`	ComfyUI preset
`pie connect --n8n`	n8n preset
`pie connect --tma`	Telegram Mini App preset
`pie login`	Add server connection
`pie logout`	Remove account
`pie account`	List & switch accounts
`pie dashboard`	Open web UI in browser
`pie status`	Show tunnels and activity
`pie logs [name]`	Stream requests
`pie inspect [id]`	Full request details
`pie replay [id]`	Replay a webhook
`pie traces [name]`	Pipeline trace timelines
`pie up`	Multi-tunnel from pipepie.yaml
`pie setup`	Server setup wizard
`pie server`	Start relay server
`pie doctor`	Diagnose server config
`pie mcp`	Start MCP server for AI tools
`pie update`	Self-update to latest
`pie version`	Version + update check

Performance

Metric	Result
Latency	2ms overhead
Sequential	119 req/s
Parallel (20 workers)	577 req/s
1MB body	16ms

What makes Pipepie different

Self-hosted & open source — your infrastructure, your data, no third-party traffic inspection
End-to-end encrypted — Noise NK protocol, the relay server never sees plaintext
AI-native — auto-detects 6 providers, pipeline tracing, MCP support
Complete toolkit — tunneling + inspection + replay + dashboard in one binary
Free forever — no bandwidth limits, no session timeouts, no paid tiers for core features

License

AGPL-3.0 — free to use, modify, and self-host. If you modify and offer as a service, you must open-source your changes.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Communication View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

5mo ago

Most recent push to the default branch.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Pipepie

It tunnels local HTTP services and can also forward TCP services such as databases or gRPC.

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/pipepie-pipepie?style=directory)](https://allmcps.com/mcp/pipepie-pipepie)

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<a href="https://allmcps.com/mcp/pipepie-pipepie"><img src="https://allmcps.com/api/badge/pipepie-pipepie?style=directory" alt="Pipepie on AllMCPs" /></a>

Technical Specs & Signals

CategoryCommunication

PricingFree

9/10 checks healthy over the last 32d

44Quality signal: Fair · 44/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools20/30

Adoption & activity3/15

Community engagement0/10

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💬 Communication →Best MCP servers for Slack & Communication →Alternatives to Pipepie →Install in Claude Desktop Install in Cursor Install in VS Code