A simple demonstration project for the Model Control Protocol (MCP) server that provides tools for AI assistants to fetch news articles, perform calculations, retrieve weather data, and generate personalized greetings.
A basic example of a serverless Model Context Protocol (MCP) server implemented using Netlify Functions with Express, enabling AI agents to interact with custom capabilities.
A basic starter project for building Model Context Protocol (MCP) servers that enables standardized interactions between AI systems and various data sources through secure, controlled tool implementations.
A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.
A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, enabling AI agents to interact with your services via a standardized API.