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

A minimal LangChain MCP setup that links math and weather tools into a single adaptable agent with HTTP servers.

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.

Model_context_protocol

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.

ModelContextProtocol

ModelContextProtocol

Beginner-friendly blueprint demonstrating end-to-end Model Context Protocol capabilities with stdio transport, tools, resources, prompts, and Claude integration.

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

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

MacOS-based screen capture with OCR, text search, and automation for UI tasks

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.

Repositorio de demostración para mostrar las capacidades del MCP (Model Context Protocol) de GitHub

Standardized MCP for GitHub API interactions with structured actions, context management, and safe workflows.

Mapbox-powered geospatial toolkit enabling AI agents to geocode, search POIs, route, isochrones, and visualize maps with seamless integrations.