Introduction to the Vonage MCP Servers

What Is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard that defines how AI models can discover and use external tools, APIs, and data sources in a consistent, secure way.

Just as OpenAPI helps developers understand how to call an API, MCP gives AI agents a structured way to understand and use tools.

Each MCP tool clearly defines:

  • What it does
  • What inputs it requires
  • What it returns

By using this shared structure, agents can make API calls safely — without any hardcoded integrations.

What are the Vonage MCP Servers?

Vonage provides a few different individual MCP implementations, based on your needs. We have a Documentation Server which exposes our documentation to LLM models so you can get up-to-date answers, and a Server API Binding MCP server that expose Vonage APIs and developer tools in an AI-native format that can be used directly by MCP-compatible clients — such as Claude Desktop or VS Code’s MCP extension.

In practice, this means developers and AI agents can query documentation, manage Vonage applications, and automate communication tasks simply by using natural language, providing several benefits:

  • AI-Native Discovery – Expose Vonage APIs directly to AI tools and assistants.
  • Faster Setup – Access documentation and account tools instantly.
  • Secure & Structured – All tool interactions follow a clear, schema-based format.
  • Consistent Developer Experience – The same MCP pattern works across documentation, configuration, and other Vonage services.

Vonage MCP Server Types

Vonage offers two MCP Servers designed for different purposes:

MCP Server Description Purpose
Documentation MCP Server Lets AI assistants search and return information from the Vonage API Documentation. Quickly find API details, guides, and code snippets without leaving your IDE.
Server API Bindings MCP Server Also known as our Tooling MCP Server, it provides tools for managing Vonage applications, numbers, and reports programmatically. Enables configuration and account management directly through AI commands.

Each server follows the same MCP structure, making them interoperable and easy to use together.

How It Works

Here’s an example of how the Vonage MCP Server fits into an AI workflow:

  1. A developer asks their AI assistant:

    “Show me how to send a WhatsApp message using Vonage APIs.”

  2. The assistant’s MCP client checks what servers are available and finds the Documentation MCP Server.

  3. The server returns relevant documentation sections directly from the official Vonage Developer Portal.

  4. Later, the developer asks:

    “Create a new Vonage app with messaging enabled.”

  5. The assistant switches to the Tooling MCP Server, which calls the appropriate API to create and configure the app — no manual setup required.

This workflow bridges natural language and API actions, allowing developers to stay focused on building rather than searching or scripting.

Supported Clients

The Vonage MCP Server works with any AI or IDE environment that supports the Model Context Protocol, including:

  • Claude Desktop
  • VS Code MCP Extension
  • Cursor IDE

Setup guides are available for each environment in the installation guides for the documentation server and for the server API bindings server