communicationdeveloper-tools

Asterisk Phone System

by gcorroto

Enhance your call monitoring center with Asterisk Phone System integration—enabling outbound calls, conversation monitor

Integrates with Asterisk phone systems to enable outbound call operations, conversation monitoring, call history retrieval, and telephony system metrics tracking for business automation workflows.

github stars

5

Real-time conversation monitoringSpeech-to-Speech API integrationDetailed call transcripts and results

best for

  • / Business automation with phone integration
  • / Customer service call automation
  • / Appointment reminders and confirmations
  • / Call center operations monitoring

capabilities

  • / Make outbound phone calls via Asterisk
  • / Monitor real-time phone conversations
  • / Retrieve call history and transcripts
  • / Track telephony system metrics
  • / Process speech-to-speech interactions
  • / Check system health and status

what it does

Connects to Asterisk phone systems to make automated calls, monitor conversations, and track call metrics for business automation workflows.

about

Asterisk Phone System is a community-built MCP server published by gcorroto that provides AI assistants with tools and capabilities via the Model Context Protocol. Enhance your call monitoring center with Asterisk Phone System integration—enabling outbound calls, conversation monitor It is categorized under communication, developer tools.

how to install

You can install Asterisk Phone System in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Asterisk Phone System is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

🌟 Asterisk S2S MCP Server

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Node.js TypeScript MCP License NPM

🚀 MCP Server for automated conversational phone calls using Asterisk with Speech-to-Speech

Make phone conversations as easy as a prompt! 📞✨

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🏗️ System Architecture

graph TB
    subgraph "MCP Client"
        A[Claude Desktop] --> B[MCP Client]
    end
    
    subgraph "MCP Server"
        B --> C[Asterisk S2S MCP]
        C --> D[Phone Tools]
        C --> E[Real-time Assistant]
    end
    
    subgraph "Backend Services"
        D --> F[Asterisk Server]
        E --> G[Speech-to-Speech API]
        F --> H[Phone Network]
    end
    
    subgraph "Monitoring"
        C --> I[Health Check]
        C --> J[Metrics & Logs]
        C --> K[Call History]
    end
    
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style F fill:#fff3e0
    style G fill:#e8f5e8

📞 Phone Call Flow

sequenceDiagram
    participant U as User
    participant C as Claude/MCP
    participant S as MCP Server
    participant A as Asterisk API
    participant P as Phone
    
    U->>C: "Call John to remind about appointment"
    C->>S: phone_make_call()
    S->>A: POST /make-call
    A->>P: Initiate call
    P-->>A: Connection established
    A-->>S: CallID + Status
    S-->>C: Call initiated ✅
    C-->>U: "📞 Call started with John"
    
    Note over A,P: Real-time S2S conversation
    
    A->>S: Callback with result
    S->>S: Process transcript
    U->>C: "How did the call go?"
    C->>S: phone_get_last_result()
    S-->>C: Detailed result
    C-->>U: "✅ John confirmed the appointment"

🛠️ MCP Components

mindmap
  root((Asterisk S2S MCP))
    Core Tools
      phone_make_call
      phone_get_status
      phone_cancel_call
    Monitoring
      phone_health_check
      phone_get_metrics
      phone_get_logs
    History
      phone_get_conversation_history
      phone_get_active_calls
      phone_get_last_result
    Configuration
      Environment Variables
      MCP Client Config
      Asterisk Integration

🚀 Installation & Usage

🎯 Option 1: NPX (Recommended)

# One command and you're ready! 🚀
npx @grec0/mcp-s2s-asterisk@latest

🔧 Option 2: Global Installation

npm install -g @grec0/mcp-s2s-asterisk
mcp-s2s-asterisk

⚙️ Step-by-Step Configuration

flowchart LR
    A[1. Install MCP] --> B[2. Configure Variables]
    B --> C[3. Configure MCP Client]
    C --> D[4. Ready to use! 🎉]
    
    style A fill:#ffcdd2
    style B fill:#fff3e0
    style C fill:#e8f5e8
    style D fill:#e1f5fe

🔐 Environment Variables

# 🌐 Asterisk API URL
export PHONE_API_URL="http://192.168.4.44:8000"

# 🔑 Authentication key
export PHONE_API_KEY="api-key"

# 🔄 Callback URL for results
export MCP_CALLBACK_URL="http://localhost:3000"

📱 MCP Client Configuration

{
  "mcpServers": {
    "asterisk-s2s": {
      "command": "npx",
      "args": ["@grec0/mcp-s2s-asterisk@latest"],
      "env": {
        "PHONE_API_URL": "http://192.168.4.44:8000",
        "PHONE_API_KEY": "api-key",
        "MCP_CALLBACK_URL": "http://localhost:3000"
      }
    }
  }
}

🧰 Available Tools

<table> <tr> <td width="50%">

📞 Calls

  • 🔥 phone_make_call - Make phone calls
  • 📊 phone_get_status - Get call status
  • phone_cancel_call - Cancel calls
  • 📱 phone_get_active_calls - Active calls
</td> <td width="50%">

📈 Monitoring

  • ❤️ phone_health_check - System health
  • 📊 phone_get_metrics - Advanced metrics
  • 📝 phone_get_logs - Detailed logs
  • 🗂️ phone_get_conversation_history - History
</td> </tr> </table>

💡 Use Cases

graph LR
    subgraph "Automation"
        A[Appointment<br/>Reminders] 
        B[Booking<br/>Confirmations]
        C[Automated<br/>Surveys]
    end
    
    subgraph "Support"
        D[Customer<br/>Service]
        E[Ticket<br/>Follow-up]
        F[Data<br/>Verification]
    end
    
    subgraph "Sales"
        G[Automated<br/>Prospecting]
        H[Lead<br/>Follow-up]
        I[Customer<br/>Qualification]
    end
    
    style A fill:#ffcdd2
    style B fill:#f8bbd9
    style C fill:#e1bee7
    style D fill:#c5cae9
    style E fill:#bbdefb
    style F fill:#b3e5fc
    style G fill:#b2dfdb
    style H fill:#c8e6c9
    style I fill:#dcedc8

🔄 Call States

stateDiagram-v2
    [*] --> Starting
    Starting --> Connecting: API Request
    Connecting --> Speaking: Connection OK
    Connecting --> Failed: No answer
    Speaking --> Completed: Conversation OK
    Speaking --> Cancelled: User Cancel
    Completed --> [*]
    Failed --> [*]
    Cancelled --> [*]
    
    note right of Speaking : Real-time<br/>Speech-to-Speech
    note right of Completed : Result processed<br/>and saved

📖 Complete Usage Example

🎬 Scenario: Medical Appointment Confirmation

// 1️⃣ User tells Claude:
"Call María González at 555-0123 to confirm her appointment tomorrow at 3pm"

// 2️⃣ Claude automatically uses:
phone_make_call({
  usuario: "María González",
  telefono: "555-0123", 
  proposito: "Confirm medical appointment for tomorrow 3pm",
  timeout: 60
})

// 3️⃣ Automatic result:
"✅ Call completed. María confirmed her appointment for tomorrow at 3pm. 
She also asked to change the time to 2:30pm if possible."

🚦 Monitoring Dashboard

pie title Call Distribution by Status
    "Completed" : 65
    "In Progress" : 15
    "Failed" : 12
    "Cancelled" : 8
xychart-beta
    title "Daily Calls (Last Week)"
    x-axis [Mon, Tue, Wed, Thu, Fri, Sat, Sun]
    y-axis "Number of Calls" 0 --> 50
    bar [23, 34, 28, 41, 38, 15, 8]

🔧 Local Development

📋 Requirements

  • 🟢 Node.js >= 18.0.0
  • 📦 npm or pnpm
  • 🔧 TypeScript

🛠️ Quick Setup

# 📥 Clone repository
git clone <repository-url>
cd mcp-s2s-asterisk

# 📦 Install dependencies  
npm install

# 🔨 Build project
npm run build

# 🚀 Run server
npm run start

📋 Available Scripts

ScriptDescriptionCommand
🔨Compile TypeScriptnpm run build
👀Development modenpm run dev
🧪Run testsnpm run test
🔍MCP Inspectornpm run inspector
📦Release patchnpm run release:patch

📊 Performance Metrics

graph TB
    subgraph "Response Time"
        A[Connection: ~2s]
        B[Establishment: ~3s] 
        C[Conversation: Variable]
        D[Processing: ~1s]
    end
    
    subgraph "Success Rates"
        E[Connection: 95%]
        F[Completed: 87%]
        G[Satisfaction: 92%]
    end
    
    style E fill:#c8e6c9
    style F fill:#c8e6c9
    style G fill:#c8e6c9

🔒 Security & Compliance

  • 🔐 Authentication: Mandatory API Key
  • 🛡️ Encryption: TLS/SSL in transit
  • 📝 Logs: Complete call auditing
  • 🔒 Privacy: Locally processed data
  • GDPR: Privacy compliance

🤝 Contributing

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Do you like the project? We'd love your contribution!

GitHub Issues Pull Requests

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📄 License

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MIT License - Use it, modify it, distribute it freely

License: MIT

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🌟 Give it a star if you like the project! ⭐

Made with ❤️ by @grec0

Transforming phone communication with conversational AI

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