Vonage AI Assist MCP Server
@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
Basic information
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"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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
FAQ from Vonage AI Assist MCP Server
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.
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.
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.
What library parameter is supported?
Currently only the value "vonage" is supported for the library parameter.
Which AI assistants are compatible?
The server works with any AI assistant that supports the Model Context Protocol (MCP), notably including Claude.
More Other MCP servers
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
Unity MCP ✨
justinpbarnettUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
MCP Toolbox for Databases
googleapisMCP Toolbox for Databases is an open source MCP server for databases.
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Blender
ahujasidOpen-source MCP to use Blender with any LLM
Comments