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

Modular OSINT toolkit enabling diverse investigations—from social profiles to geospatial insights—with automated data enrichment and multi-source analysis.

Unified, transport-agnostic bridge enabling discovery, orchestration, and data exchange between AI apps and external tools; supports local Stdio and remote SSE.

A compact Python-based sandbox to compute BMI and perform simple math via a CLI client.

Model Context Protocol lab!

Building AI agents with model context protocol

A minimal, end-to-end demo linking OpenAI function calls to a Petstore-backed workflow.

Scalable, pluggable context orchestration with long-term memory, dynamic window control, and tool integrations for multi-tenant deployments.

Standardizes discovery and safe access to external tools and data, enabling scalable, reusable integrations with clear governance.

Scalable, privacy-aware framework to capture, route, and synchronize model contexts across distributed agents with extensible adapters.

Will start learning soon

Feature-rich framework enabling seamless context exchange between models via semantic kernel integration and flexible client components.

ModelContextProtocol Training

Lightweight, extensible protocol enabling standardized model context exchange and cross-component task coordination.

AI-powered storytelling with persistent narratives, tool-driven state management, and a CLI interface built on Bun and OpenAI.

Downloads YouTube audio, transcribes with faster-whisper, and summarizes using Groq llama3-70b-8192 for concise podcast digests.

Python-based intelligent agent dynamically connects to multiple MCP endpoints, auto-binds tools, and orchestrates AI workflows using LangGraph and LangChain.

Android-focused framework enabling AI agents to intelligently control and interact with devices using contextual awareness.

Transparent MCP proxy with in-memory, type-safe logging, ANSI-aware output, and auto-restart for wrapped servers.

A VS Code–focused toolkit delivering robust file, editing, command, and analysis capabilities with IDE-aware AI workflows.