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.
@micahman33
基本信息
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
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"VonageAssist": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@micahman33/VonageAICodeAssist",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
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.”
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.
Python 3.13+ is required. You must set the `SERPER_API_KEY` environment variable. The server depends on FastMCP, httpx, BeautifulSoup, and python‑dotenv.
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`.
Currently only the value `"vonage"` is supported for the `library` parameter.
The server works with any AI assistant that supports the Model Context Protocol (MCP), notably including Claude.

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