VoIPBin MCP Server

VoIPBin MCP Server

A Model Context Protocol server that enables AI models to interact with VoIPBin's VoIP services, supporting features like call management, agent management, campaigns, conferences, and chat functionality.

Category
Visit Server

README

VoIPBin MCP Server

A Model Context Protocol (MCP) server implementation for the VoIPBin API, enabling AI models to interact with VoIP services.

Disclaimer

This software is provided "as is" without any warranties, either express or implied. The author makes no guarantees about the completeness, reliability, or accuracy of this software. Any use of this software is at your own risk. The author shall not be liable for any damages arising from the use of this software.

Overview

This MCP server provides a standardized interface for AI models to interact with VoIPBin's API services. It implements the Model Context Protocol specification and supports both SSE and stdio transport types.

Features

  • Full VoIPBin API integration through MCP protocol
  • Support for both stdio and SSE transport modes
  • Comprehensive tool definitions with proper annotations
  • Type-safe request/response handling
  • Asynchronous HTTP requests
  • Proper error handling and validation
  • Docker support for easy deployment

Available Tools

Call Management

  • get_calls: Retrieve a list of calls with optional filtering
  • get_call: Get details of a specific call
  • create_call: Create a new call
  • end_call: End an active call

Agent Management

  • get_agents: Retrieve a list of agents
  • get_agent: Get details of a specific agent
  • update_agent_status: Update an agent's status

Campaign Management

  • get_campaigns: Retrieve a list of campaigns
  • get_campaign: Get details of a specific campaign
  • create_campaign: Create a new campaign

Recording Management

  • get_recordings: Retrieve a list of call recordings
  • get_recording: Get details of a specific recording

Queue Management

  • get_queues: Retrieve a list of call queues
  • get_queue: Get details of a specific queue

Conference Management

  • get_conferences: Retrieve a list of active conferences
  • create_conference: Create a new conference

Chat Management

  • get_chats: Retrieve a list of chat conversations
  • send_chat_message: Send a message in a chat conversation

Billing Management

  • get_billing_info: Retrieve current billing information
  • get_billing_history: Retrieve billing history with optional date filtering

Setup

Local Development Setup

  1. Create a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Create a .env file:
cp .env.example .env
  1. Update the .env file with your VoIPBin API credentials:
VOIPBIN_API_URL=https://api.voipbin.net/v1.0
VOIPBIN_API_KEY=your-api-key-here
PORT=8000

Docker Setup

  1. Build and run using Docker Compose:
# Build and start the container
docker-compose up --build

# Run in detached mode
docker-compose up -d

# Stop the container
docker-compose down
  1. Or build and run using Docker directly:
# Build the image
docker build -t voipbin-mcp-server .

# Run the container
docker run -d \
  -p 8000:8000 \
  -e VOIPBIN_API_KEY=your-api-key-here \
  -e VOIPBIN_API_URL=https://api.voipbin.net/v1.0 \
  voipbin-mcp-server

Running the Server

Local Development

Standard I/O Mode

python src/main.py --transport stdio

SSE Mode

python src/main.py --transport sse --port 8000

Docker

The server runs in SSE mode by default when using Docker. The container exposes port 8000 for SSE connections.

Tool Usage Examples

Creating a Call

{
  "name": "create_call",
  "arguments": {
    "body": {
      "phone_number": "+1234567890",
      "agent_id": "agent_123",
      "campaign_id": "campaign_456"
    }
  }
}

Getting Call Details

{
  "name": "get_call",
  "arguments": {
    "call_id": "call_789"
  }
}

Creating a Conference

{
  "name": "create_conference",
  "arguments": {
    "body": {
      "name": "Team Meeting",
      "participants": ["+1234567890", "+0987654321"]
    }
  }
}

Sending a Chat Message

{
  "name": "send_chat_message",
  "arguments": {
    "chat_id": "chat_123",
    "body": {
      "message": "Hello, how can I help you today?"
    }
  }
}

Tool Annotations

Each tool includes annotations that provide metadata about its behavior:

  • readOnlyHint: Indicates if the tool only reads data
  • destructiveHint: Indicates if the tool modifies or deletes data
  • idempotentHint: Indicates if repeated calls have the same effect as a single call
  • openWorldHint: Indicates if the tool operates in an open world context

Error Handling

The server includes comprehensive error handling:

  • Invalid API credentials
  • Network connectivity issues
  • Invalid request parameters
  • Rate limiting
  • Server errors

Development

Adding New Tools

To add a new tool:

  1. Add the tool definition in the list_tools() function
  2. Implement the tool handler in the voipbin_tool() function
  3. Update the documentation

Testing

Run the test suite:

python -m pytest tests/

Security

  • API keys are stored securely in environment variables
  • All requests are authenticated
  • HTTPS is enforced for API communication
  • Input validation is performed on all requests
  • Docker container runs as non-root user
  • Health checks ensure container is running properly

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

The MIT License is a permissive license that is short and to the point. It lets people do anything they want with the code as long as they provide attribution back to you and don't hold you liable.

What you can do with this code:

  • Use it commercially
  • Modify it
  • Distribute it
  • Use it privately
  • Sublicense it

What you must do:

  • Include the original copyright notice
  • Include the license text
  • Provide clear attribution to the original source
  • Maintain attribution in any derivative works

What you cannot do:

  • Hold the author liable for damages
  • Remove or obscure the attribution
  • Claim the work as your own

For more information about the MIT License, visit choosealicense.com/licenses/mit/.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured