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.

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

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.

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.

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

Standardized context exchange enabling cross-model collaboration, adaptive routing, and tool integration through pluggable adapters and policies.

CLI AI chat with document-aware prompts and extensible tool integrations, powered by an Anthropic API-backed workflow for knowledge-driven conversations.

Context-driven weather insights with adaptable data sources and auditable decision traces, enabling proactive alerts and cross-actor collaboration.

TypeScript-based backend with real-time resume-driven interactions, multi-format resume support, and SMTP email alerts, designed for modular, extensible model-context tasks.

End-to-end deployment with AI Foundry integration and Azure APIM, featuring OpenAPI-driven endpoints, containerized orchestration, and comprehensive monitoring.

Lightweight PoC in C# enabling model context sharing, orchestration, and cross-component hydration with pluggable backends.

Protocol enabling hosted model context with capability negotiation, real-time tool provisioning, and multi-actor coordination for dynamic AI tooling.

Reactive StackOverflow search component within Model Context Protocol enabling fast, API-driven context retrieval with non-blocking WebFlux.

ModelContextProtocol

TypeScript-based client template offering unified access to native file ops and MCP-backed tools with config-driven loading and easy server integration.

Express-based platform exposing resources, tools, and prompts with modular routing and plugin-friendly integration.

Lightweight, modular HTTP-based integration enabling efficient prompt context management with per-model isolation and easy LLM workflow integration

Python-based data explorer with multi-layer caching, rate-limited access, and 16 integrated tooling facets enabling AI-assisted access.

Feature-rich YouTube analytics backend offering transcripts, sentiment analysis, and cached exports with robust quota management—distinctive data collection and media handling.

Production-ready ticketing powered by MCP, RAG search, and Semantic Kernel with Azure OpenAI.

Hybrid workflow for recipe queries with NLP search, precise category/area filters, and no API keys.