Centralized device and scene management for Sinum via Model Context Protocol with API key security.

Quick-start, dockerized shell-based tool to explore context exchange flows with minimal setup, ideal for Udemy learners and instructors.

Building AI agents with model context protocol

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

A lightweight, protocol-driven time service that delivers real-time ISO timestamps for synchronized distributed components.

Decorator-driven Python framework exposing tools, resources, and prompts with transport-agnostic messaging and in-browser testing via an inspector, plus Claude AI integration for streamlined workflows.

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

Java-based implementation enabling structured model-context interactions with modular components and pluggable storage for flexible integration.

.NET-based context protocol with custom prompts and data adapters to fetch product data from APIs, generate insights with Copilot, and integrate with n8n workflows.

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

Model context protocol for Calling weather by City. Free API.

JSON-RPC API using FastAPI and Open-Meteo, extensible for new weather tools.

Model Context Protocol

Model Context Protocol

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

Lightweight Python implementation enabling dynamic context provisioning and modular memory backends with standard negotiation for AI agents.

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.

An interoperable framework enabling versioned, schema-backed context graphs across runtimes for reproducible experiments.

Modular context framework with multiple backends: Google ADK integration, FastAPI toolset, and PostgreSQL-backed variant for flexible, scalable AI reasoning contexts.

Cross-language microservice framework enabling AI-powered tooling with Python and C#, featuring robust integrations and developer-friendly tooling.

A lightweight TypeScript service exposing currency conversion via stdio IPC, powered by a trusted exchange rate API. It offers a simple build/run flow, a small footprint, and quick integration into Model Context Protocol workflows.

Natural language queries with domain filtering and reliable API monitoring for Tavily AI integration.