A demonstration implementation of the Model Context Protocol server that facilitates communication between AI models and external tools while maintaining context awareness.
A comprehensive Model Context Protocol toolkit that transforms AI assistants into autonomous agents capable of executing real-world tasks across filesystems, web requests, Git workflows, databases, system commands, and AI integrations.
A model context protocol server example collection that demonstrates tool integration, stdio and HTTP transports, and LangChain adapters for building AI-powered applications.
An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.
A production-ready Model Context Protocol suite over Streamable HTTP providing a sandboxed file server with tools, resources, prompts, and both manual and AI-driven clients.
An educational repository designed to practice and understand the Model Context Protocol through simple server implementations. It demonstrates core MCP concepts such as tools, resources, and communication via stdio and SSE transport methods.