Vonage AI Code Assist MCP Server

What is Vonage AI Code Assist MCP Server?

Vonage AI Code Assist is a Model Context Protocol (MCP) server that helps developers integrate Vonage API capabilities into their applications. It provides AI-assisted access to Vonage documentation, enabling quick searches of Vonage’s communication APIs. The server is built for developers using Claude or other MCP-compatible AI assistants.

How to use Vonage AI Code Assist MCP Server?

Install automatically via Smithery (npx -y @smithery/cli install @micahman33/VonageAICodeAssist --client claude) or manually with Python 3.13+, set the SERPER_API_KEY environment variable, run uv install to install dependencies, then python main.py. Once running, use the Vonage-Assist tool with parameters query and library (currently only "vonage").

Key features of Vonage AI Code Assist MCP Server

• Searches Vonage’s official documentation via Google Serper API
• Extracts and returns content from relevant documentation pages
• Exposes a single Vonage-Assist tool for MCP-compatible AI assistants
• Built with FastMCP, httpx, BeautifulSoup, and python-dotenv
• Works with Claude and other MCP-supporting AI systems

Use cases of Vonage AI Code Assist MCP Server

• Searching for Vonage API documentation (e.g., “number verification”, “SMS API”)
• Finding information about implementing two-factor authentication with Vonage
• Quickly retrieving specific code examples or parameter details from Vonage docs
• Assisting with troubleshooting by fetching relevant documentation sections

FAQ from Vonage AI Code Assist MCP Server

What runtime and dependencies does Vonage AI Code Assist require?

Python 3.13+ is required. Dependencies are managed via uv (from uv install) and include FastMCP, httpx, BeautifulSoup, and python-dotenv.

What API key is needed to use this server?

A SERPER_API_KEY from Google Serper is required for web searches. No other authentication is needed.

Is the server compatible with any AI assistant besides Claude?

The server follows the MCP protocol, so it can be used with any AI assistant that supports the MCP standard. The README specifically mentions Claude.

What documentation library is currently supported?

Only the "vonage" library is supported at this time. The library parameter accepts only "vonage".

Where does the documentation data come from?

The server searches within the Vonage developer documentation domain (developer.vonage.com/en/documentation) using the Google Serper API. It fetches and extracts text content from the result pages. No local data is stored.