TypeScript-based framework for efficient, typed model context sharing across tools and workflows.

Lightweight, modular platform enabling structured model context sharing and prompt routing across LLMs.

MCP - Understanding the basics and AI Agents

A standardized, plug-and-play context protocol enabling secure, cross-application context sharing and orchestration for AI agents and tools.

Model Context Protocol

Natural-language expense tracking with AI-assisted categorization, flexible categories, and on-demand summaries via a lightweight SQLite backend.

Lightweight, schema-driven protocol enabling interoperable context sharing, pluggable backends, and streaming memory with multi-model support.

MCP

Lightweight framework enabling modular context exchange, pluggable storage, and API-first integration for cross-model collaboration.

Streaming HTTP agent using context protocol over SSE with Gemini 2.5 Flash for real-time, context-aware AI.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Lightweight JavaScript starter linking Model Context Protocol with Copilot for context-aware, explainable code suggestions.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

Guides integrating Model Context Protocol with Copilot using JavaScript, enabling contextual code assistance and richer prompt handling.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot