Lightweight TypeScript implementation of a Model Context Protocol with stdio transport and a greetings tool for quick prototyping.

Python-based context provider delivering Jira data to LLMs with structured access and seamless Jira integration.

Secure, multi-transport WordPress interface enabling AI assistants to safely create and manage posts, media, and site data with non-destructive operations. Includes OAuth2 groundwork and flexible transports to work with modern tools and legacy clients, making automation reliable for content teams and copilots. Its design emphasizes safety, auditability, and easy integration into CI pipelines.

Python-based Salesforce metadata analyzer with security checks, naming conventions, and detailed reporting.

Bridge between OpenAI models and Neuralink-like interfaces via MCP, enabling real-time brain-AI interactions with secure, extensible LLM workflows.

Lightweight modular toolkit to control Docker, automate GitHub tasks, and boost Claude Desktop workflows with browser automation and Brave Search.

Type-safe TypeScript client with specialized modules for Wikipedia, Dictionary, Google Search, and LRU caching, using JSON-RPC 2.0.

Python-based resources and examples enabling context-aware deployments with ready-made scripts and configurations.

Demonstrates NLP-driven network slice bookings using CAMARA API specs with OpenAPI validation and tool-based MCP exposure.

Research and documentation about Model Context Protocol (MCP) debugging tools

A hands-on demonstration of structured tool, resource, and prompt orchestration for an educational AI tutor.

AI-driven meal planning that curates recipes, schedules weekly menus, and adapts to allergies and group size for personalized dining.

MCP(Model Context Protocol) 기술 학습을 위한 실험 환경입니다.

MCP(Model Context Protocol) works with local Ollama-Mistral

Fetch, render, and convert web content to markdown via a modular toolset with Claude-friendly workflows and interactive UI.

Secure, standardized GitHub automation enabling AI assistants to manage repos, issues, PRs, and files with fine-grained permissions and extensible tooling.

Efficient, token-aware context management with real-time WebSocket updates and secure authentication.

Open, hands-on playground showcasing secure, interoperable AI integrations with modular tools, data sources, and prompts for real-world experimentation.

A scalable Model Context Protocol implementation for n8n that coordinates contexts across automations, enabling secure, reusable prompts and multi-tenant governance.

Exercise: Integrate Model Context Protocol with GitHub Copilot

Model Context Protocol (MCP) Configuration and Management Repository

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Integrate Model Context Protocol with GitHub Copilot

A TypeScript-based lightweight demonstration highlighting a greeting tool built with MCP SDK 1.12.0, ideal for quick experimentation and developer onboarding.