A reference implementation of a Model Context Protocol server that demonstrates core primitives including tools, resources, and prompts. It enables users to perform basic arithmetic operations and manage notes through a simple storage system.
A demonstration server designed to showcase core Model Context Protocol (MCP) primitives including tools, resources, and prompts for presentations. It provides functional examples like text analysis and financial calculations to illustrate how AI models interact with external functions and data.
A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.
A demonstration server based on Model Context Protocol (MCP) that showcases how to build custom tools for AI assistants, providing mathematical calculation and multilingual greeting capabilities.
A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.
A Python-based demonstration server showcasing multiple Model Context Protocol transport mechanisms, including stdio, SSE, and HTTP. It provides a functional reference for tool discovery and execution using a sample number addition tool.
