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.
@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": {
"VonageAICodeAssist": {
"command": "python",
"args": [
"main.py"
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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").
Vonage-Assist tool for MCP-compatible AI assistantsPython 3.13+ is required. Dependencies are managed via `uv` (from `uv install`) and include FastMCP, httpx, BeautifulSoup, and python-dotenv.
A `SERPER_API_KEY` from Google Serper is required for web searches. No other authentication is needed.
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.
Only the `"vonage"` library is supported at this time. The `library` parameter accepts only `"vonage"`.
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.

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