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Vonage AI Assist MCP Server

@micahman33

Repository

Basic information

Category

Other

Transports

stdio

Author

micahman33

About Vonage AI Assist MCP Server

MCP server to assist with AI code generation using Claude Desktop, Claude Code or any coding tool that supports MCP servers to ensure you're always working from the most current Vonage SDKs and APIs

#vonage#ai-assistant#mcp-server

Vonage AI Assist MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "VonageAssist": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@micahman33/VonageAICodeAssist",
        "--client",
        "claude"
      ]
    }
  }
}

Vonage AI Assist MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Vonage AI Assist MCP Server?

Vonage AI Assist MCP Server is a Model Context Protocol (MCP) server that helps developers integrate Vonage API capabilities by providing AI‑assisted access to Vonage’s official documentation. It uses FastMCP and a dedicated tool (“Vonage‑Assist”) to search developer.vonage.com, retrieve relevant documentation, and return extracted text to any MCP‑compatible AI assistant (e.g., Claude). The server is built for developers who want to quickly find Vonage API information through natural‑language queries.

How to use Vonage AI Assist MCP Server?

Install automatically via Smithery (npx -y @smithery/cli install @micahman33/VonageAICodeAssist --client claude) or manually by setting up a Python 3.13+ environment, configuring the SERPER_API_KEY environment variable, installing dependencies (uv install), and running python main.py. Once running, the server exposes the Vonage‑Assist tool with two parameters: query (your search question) and library (currently only "vonage"). For example, ask an MCP‑compatible AI: “Use the Vonage‑Assist tool to find information about implementing two‑factor authentication with Vonage APIs.”

Key features of Vonage AI Assist MCP Server

  • MCP‑based documentation search tool
  • Integrates with Google Serper API for targeted searches
  • Retrieves and extracts content from Vonage developer docs
  • Compatible with Claude and other MCP‑compatible AI assistants
  • Simple two‑parameter interface (query, library)
  • Built with FastMCP, httpx, BeautifulSoup, and python‑dotenv

Use cases of Vonage AI Assist MCP Server

  • Quickly find Vonage API documentation for SMS, Voice, Verify, or Video endpoints
  • Get AI‑assisted answers about implementing two‑factor authentication
  • Search Vonage developer docs without leaving your AI assistant
  • Speed up integration by retrieving relevant documentation in natural language

Frequently asked questions

1

What is the Vonage-Assist tool?

It is the main tool exposed by the server that searches Vonage’s official documentation (developer.vonage.com/en/documentation) using the Google Serper API and returns extracted text content to the user.

2

What are the required dependencies and runtime?

Python 3.13+ is required. You must set the `SERPER_API_KEY` environment variable. The server depends on FastMCP, httpx, BeautifulSoup, and python‑dotenv.

3

How do I install Vonage AI Assist MCP Server?

You can install it automatically via Smithery with the command `npx -y @smithery/cli install @micahman33/VonageAICodeAssist --client claude`, or manually by cloning the repository, setting up the environment variable, installing dependencies (`uv install`), and running `python main.py`.

4

What library parameter is supported?

Currently only the value `"vonage"` is supported for the `library` parameter.

5

Which AI assistants are compatible?

The server works with any AI assistant that supports the Model Context Protocol (MCP), notably including Claude.

Comments

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