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Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:48:51 PM

Magpipe

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View Repository6 GitHub StarsTotal stargazers on GitHub for the source repository (6 stars).Visit Website

Manage AI voice agents, calls, SMS, contacts, and phone numbers via Magpipe.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "magpipe": {
      "command": "npx",
      "args": [
        "-y",
        "supabase"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Magpipe - A Conversational Platform

Magpipe is a a conversational platform that manages SMS/Text messsges, Phone Calls, Email, and Web Chat. Built with vanilla JavaScript, Supabase, CPaaS, and LiveKit.

Features

  • Smart Call Handling β€” AI answers calls, screens unknown callers, takes messages, and transfers important calls to you
  • Intelligent SMS β€” Context-aware text responses that understand conversation history and respond appropriately
  • Email AI β€” Automatically respond to emails with context-aware AI replies, drafts for review, or fully autonomous mode
  • 24/7 Availability β€” Your assistant never sleeps. Handle calls and messages around the clock
  • Contact Management β€” Whitelist VIPs, block spam, and set custom rules for different callers
  • Knowledge Base β€” Train your assistant with custom information to answer questions accurately
  • Privacy First β€” Your data is encrypted and secure. Full control over what information is shared
  • Analytics & Insights β€” Real-time dashboards with call volume, sentiment analysis, and conversation trends
  • Real-Time Translation β€” Automatic translation across 30+ languages during live calls
  • Conversation Memory β€” Your agent remembers past interactions, caller preferences, and context across every conversation
  • Integrations β€” Connect with HubSpot, Google Workspace, Zapier, and more. Sync contacts, log calls, and automate workflows
  • Warm Transfer β€” Seamlessly hand off live calls to you or your team when the AI detects a conversation needs a human touch
  • Social Listening β€” Automated monitoring of Reddit, HackerNews, and Google for keyword mentions. Email digests, admin dashboard with favorites, search, and status tracking
  • Voice Library β€” 30 voice options (24 ElevenLabs + 6 OpenAI) with AI-generated avatars, audio previews, trait tags (accent, tone, age, use case), and multilingual support. Cloned voices use the Multilingual v2 model for natural accent preservation
  • Blog & Social β€” Built-in blog with AI-generated featured images, Twitter/X auto-posting with image attachments, and a What's New notification card for users

Tech Stack

  • Frontend: Vanilla JavaScript (ES6+), HTML5, CSS3, Vite
  • Backend: Supabase (PostgreSQL, Auth, Realtime, Edge Functions β€” TypeScript/Deno)
  • Telephony: SignalWire (PSTN calls, SMS, conference bridging)
  • Voice AI: LiveKit (real-time audio), OpenAI (LLM), Deepgram (STT), ElevenLabs (TTS)
  • Payments: Stripe (credits, subscriptions)
  • Email: Postmark (transactional), Gmail API (support tickets, inbox email send/receive)
  • Enrichment: Apollo.io (contact data)
  • Social Listening: Serper.dev (Google SERP + Reddit), HN Algolia API
  • Vector DB: pgvector (conversation context embeddings)

Project Structure

Code
pat/
β”œβ”€β”€ agents/
β”‚   └── livekit-voice-agent/      # Python LiveKit agent (deployed on Render)
β”‚       β”œβ”€β”€ agent.py              # Main agent logic (~3,400 lines)
β”‚       β”œβ”€β”€ requirements.txt
β”‚       └── render.yaml           # Render deployment config
β”œβ”€β”€ public/                       # Static assets
β”‚   β”œβ”€β”€ index.html
β”‚   β”œβ”€β”€ manifest.json             # PWA manifest
β”‚   β”œβ”€β”€ sw.js                     # Service worker
β”‚   └── styles/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ components/               # Reusable UI components
β”‚   β”‚   β”œβ”€β”€ AdminChatInterface.js # Admin AI chat
β”‚   β”‚   β”œβ”€β”€ AdminHeader.js        # Admin portal header with status dropdown
β”‚   β”‚   β”œβ”€β”€ BottomNav.js          # Mobile bottom nav / desktop sidebar
β”‚   β”‚   β”œβ”€β”€ ConfirmModal.js       # Custom confirm dialog
β”‚   β”‚   β”œβ”€β”€ ImpersonationBanner.js
β”‚   β”‚   β”œβ”€β”€ LowBalanceBanner.js   # Low credit balance warning
β”‚   β”‚   └── ...
β”‚   β”œβ”€β”€ lib/                      # Utilities
β”‚   β”‚   └── supabase.js           # Supabase client
β”‚   β”œβ”€β”€ models/                   # Data models (User, Contact, AgentConfig, etc.)
β”‚   β”œβ”€β”€ pages/                    # UI pages (large pages split into subdirectories)
β”‚   β”‚   β”œβ”€β”€ admin/                # Admin portal (split from admin.js)
β”‚   β”‚   β”‚   β”œβ”€β”€ index.js          # Entry point
β”‚   β”‚   β”‚   β”œβ”€β”€ support-tab.js    # Support tickets, Gmail, AI settings
β”‚   β”‚   β”‚   β”œβ”€β”€ users-tab.js      # User management
β”‚   β”‚   β”‚   β”œβ”€β”€ analytics-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ kpi-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ notifications-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ chat-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ global-agent-tab.js
β”‚   β”‚   β”‚   └── styles.js
β”‚   β”‚   β”œβ”€β”€ agent-detail/         # Agent config (split from agent-detail.js)
β”‚   β”‚   β”‚   β”œβ”€β”€ index.js
β”‚   β”‚   β”‚   β”œβ”€β”€ configure-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ prompt-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ functions-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ knowledge-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ memory-tab.js
β”‚   β”‚   β”‚   β”œβ”€β”€ deployment-tab.js # Phone number assignment + inline buy-number modal
β”‚   β”‚   β”‚   └── ...
β”‚   β”‚   β”œβ”€β”€ inbox/                # Inbox (split from inbox.js)
β”‚   β”‚   β”‚   β”œβ”€β”€ index.js
β”‚   β”‚   β”‚   β”œβ”€β”€ call-interface.js
β”‚   β”‚   β”‚   β”œβ”€β”€ listeners.js
β”‚   β”‚   β”‚   β”œβ”€β”€ messaging.js
β”‚   β”‚   β”‚   └── views.js
β”‚   β”‚   β”œβ”€β”€ phone/                # Phone (split from phone.js)
β”‚   β”‚   β”‚   β”œβ”€β”€ index.js
β”‚   β”‚   β”‚   β”œβ”€β”€ call-handler.js
β”‚   β”‚   β”‚   β”œβ”€β”€ dialpad.js
β”‚   β”‚   β”‚   └── number-management.js
β”‚   β”‚   β”œβ”€β”€ batch-calls.js          # Batch outbound calls (CSV upload, scheduling)
β”‚   β”‚   β”œβ”€β”€ contacts.js
β”‚   β”‚   β”œβ”€β”€ settings.js
β”‚   β”‚   └── ...
β”‚   β”œβ”€β”€ services/                 # Business logic services
β”‚   β”‚   β”œβ”€β”€ unreadService.js
β”‚   β”‚   β”œβ”€β”€ pushNotifications.js
β”‚   β”‚   β”œβ”€β”€ mcpClient.js
β”‚   β”‚   └── ...
β”‚   β”œβ”€β”€ main.js                   # App entry point
β”‚   └── router.js                 # Client-side SPA routing
β”œβ”€β”€ supabase/
β”‚   β”œβ”€β”€ functions/                # ~160 Edge Functions (TypeScript/Deno)
β”‚   β”‚   β”œβ”€β”€ _shared/             # Shared utilities (cors, auth, balance-check)
β”‚   β”‚   β”œβ”€β”€ admin-status/
β”‚   β”‚   β”œβ”€β”€ contact-lookup/       # Apollo.io enrichment
β”‚   β”‚   β”œβ”€β”€ batch-calls/            # Batch call CRUD (create, list, get, start, cancel)
β”‚   β”‚   β”œβ”€β”€ process-batch-calls/    # Batch call worker (initiates calls per recipient)
β”‚   β”‚   β”œβ”€β”€ initiate-bridged-call/
β”‚   β”‚   β”œβ”€β”€ gmail-push-webhook/   # Gmail Pub/Sub push notifications + support ticket mirroring
β”‚   β”‚   β”œβ”€β”€ gmail-watch-renew/    # Daily Gmail watch renewal
β”‚   β”‚   β”œβ”€β”€ poll-gmail-inbox/     # Fallback email polling (30m)
β”‚   β”‚   β”œβ”€β”€ poll-gmail-tickets/
β”‚   β”‚   β”œβ”€β”€ support-tickets-api/
β”‚   β”‚   β”œβ”€β”€ webhook-inbound-call/
β”‚   β”‚   β”œβ”€β”€ webhook-inbound-sms/
β”‚   β”‚   └── ...
β”‚   └── migrations/               # Database migrations
β”œβ”€β”€ packages/
β”‚   └── mcp-server/               # MCP server for AI coding tools (Claude Code, Cursor)
β”œβ”€β”€ tests/                        # Playwright & contract tests
└── specs/                        # Feature specifications

Getting Started

Prerequisites

  • Node.js 18+ and npm
  • Supabase account & CLI
  • SignalWire account (SIP endpoint, phone numbers)
  • LiveKit Cloud account
  • OpenAI API key
  • Deepgram API key
  • ElevenLabs API key

Installation

  1. Clone the repository

    bash
    git clone <repo-url>
    cd pat
    
  2. Install dependencies

    Terminal
    npm install
    
  3. Set up environment variables

    bash
    cp .env.example .env
    

    Edit .env with your credentials:

    Code
    # Supabase
    VITE_SUPABASE_URL=your_supabase_url
    VITE_SUPABASE_ANON_KEY=your_supabase_anon_key
    SUPABASE_SERVICE_ROLE_KEY=your_service_role_key
    
    # SignalWire
    SIGNALWIRE_PROJECT_ID=your_project_id
    SIGNALWIRE_API_TOKEN=your_api_token
    SIGNALWIRE_SPACE_URL=your_space.signalwire.com
    
    # LiveKit
    LIVEKIT_URL=wss://your-project.livekit.cloud
    LIVEKIT_API_KEY=your_api_key
    LIVEKIT_API_SECRET=your_api_secret
    
    # AI Services
    OPENAI_API_KEY=your_openai_key
    DEEPGRAM_API_KEY=your_deepgram_key
    ELEVENLABS_API_KEY=your_elevenlabs_key
    
  4. Run database migrations

    Terminal
    npx supabase db push
    
  5. Deploy Edge Functions

    server.ts
    export SUPABASE_ACCESS_TOKEN=your_token
    npx supabase functions deploy --no-verify-jwt
    
  6. Start development server

    Terminal
    npm run dev
    

    The app will be available at http://localhost:3000

Architecture

Smart Call Handling

Inbound calls hit a SignalWire number, which triggers a LiveKit room. The AI agent joins, screens the caller, and decides whether to transfer, take a message, or handle the conversation. All calls are recorded with transcripts stored automatically.

Intelligent SMS

Inbound SMS triggers a webhook that retrieves conversation context (with vector embeddings), generates a context-aware AI response, and sends it via SignalWire. Full conversation history is maintained per contact.

Only agent_type = 'text' agents handle SMS. Voice agents are never routed inbound SMS. Agent selection priority: explicit text_agent_id on the service number β†’ user's default text agent β†’ any text agent belonging to the user. If no text agent is found, a one-time auto-reply is sent to the sender and subsequent messages from that number are silently ignored.

Loop detection prevents runaway back-and-forth: if the same message body arrives more than twice in a conversation thread, the AI reply is skipped silently. Normal replies resume as soon as the sender sends a different message.

Email AI

Gmail integration via OAuth and Pub/Sub push notifications. The agent can operate in draft mode (generates replies for review) or auto mode (sends replies autonomously). Emails are threaded and visible in the unified inbox.

Warm Transfer

During a live call, the AI can seamlessly hand off to a human. SignalWire bridges the caller to your phone while the agent briefs you, then drops off the line.

Knowledge Base

Upload documents or URLs to train your agent. Content is crawled (via Firecrawl), chunked, and embedded with OpenAI into pgvector for RAG-powered retrieval during calls and messages.

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Magpipe

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "magpipe": { "command": "npx", "args": ["-y", "magpipe"] } }

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Technical Specs & Signals

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TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity2/15
Community engagement0/10

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