Streamlit-based learning path creator that integrates video, docs, and notes for tailored study plans and real-time progress.

In-memory prototype for balance checks, leave requests, and history with a lightweight greeting endpoint for rapid testing and iteration.

Two-stage AI integration demo: UDP car control bridge and Claude Desktop connectivity.

Dynamic tool invocation and context-aware planning for intelligent, multi-agent workflows with OpenAI integration.

Next.js sample with Vercel adapter, SSE transport, Redis streaming, and Fluid compute optimization for scalable context handling.

Lightweight FastAPI-based context coordination for AI models with pluggable memory, secure access, and modular integration. It enables memory and tool sharing across agents, clean separation of concerns, and simple deployment for modern AI workflows. Onboarding is quick for teams adopting protocol patterns.

Standardized, versioned context exchange enabling lightweight, interoperable AI workflows with pluggable data sources and deterministic payloads.

https://anthropic.skilljar.com/model-context-protocol-advanced-topics

AI-powered invoice data extraction with Gemini 2.0, Flutter frontend, and MCP-based routing for real-time processing.

MCP Crash course

CLI-driven interactive chat with document-aware prompts and extensible tool integrations, designed for rapid experimentation and customization.

CLI-driven AI chat with document retrieval and extensible tool integrations via a modular protocol.

Two-context demo with journey and news domains, configurable OpenAI backend via env vars, using ports 8000 and 8001.

Synchronous weather tool with dual transport (stdio & HTTP), enabling tool discovery, forecast and alerts access via JSON-RPC.

Automatic parsing and Markdown documentation with parameter details, code quality insights, and comment preservation.

A Python-based demonstration of context handling with clear tooling interactions and extensible patterns.

Model_Context_Protocol MCP

Demonstrates live web search via Tavily API using stdio transport to enrich AI-driven context.

model context protocol projects

A modular host-client-server framework coordinating AI resources through JSON-RPC, enabling specialized, external service integration and dynamic resource orchestration.

OpenAI-based MCP with real data access and file/web tool integrations.

Minimal toolkit showcasing core tools and resources with quick local setup, CLI workflow, and VS Code integration for rapid AI tool prototyping.

A lightweight protocol for centralized model context sharing and collaboration across heterogeneous AI agents, emphasizing efficient context transfer and modular plug-ins.

Model Context Protocol