Context-aware AI project manager with Gantt/Kanban visuals, enterprise integrations, and robust RBAC.

Edge-deployed, read-only portfolio data interface with SSE streaming, Django REST integration, and Claude Desktop compatibility for fast, secure exploration.

Descriptive, scalable, modular intent-based implementation for Model Context Protocol(MCP) in .NET

Intelligent navigation for MCP specs with dynamic markdown trees, fast search, and upstream synchronization.

Go-based VOICEVOX integration enabling LLM-driven speech with per-speaker controls, playback, and customizable speed, pitch, and intonation.

Two core utilities offering time retrieval and a ten-second progress flow with multi-transport support.

Designed for rapid experimentation, it minimizes boilerplate while exposing data sources and utilities to language models via a simple Python interface.

MCP(Model Context Protocol) 기술 시연을 위한 Spring Boot 기반 어드민 대시보드 프로젝트

Containerized GitHub API bridge with REST endpoints, health checks, and Spring AI integration for local development.

Scalable Node.js example with modular prompts, tools, and resources, designed for protocol-driven interactions and real-time testing.

Bridge enabling cross-provider AI collaboration via tool calls, configurable reasoning, and ultra-efficient single-call context handling for production workflows.

Access EPUB metadata, table of contents, chapters, search, and images through a Model Context Protocol-based workflow.

Gmail integration via IMAP/SMTP exposed through a high-speed framework enabling AI-driven fetch, search, unread, and send.

Model Context Protocol server that exposes stock and financial data via yfinance for LLM-driven finance workflows, with easy deployment and extensibility.

Lightweight weather MCP using OpenWeatherMap data to provide current and forecasted weather for prompts.

Model Context Protocol-enabled chat interface with multi-provider tooling, automatic API adaptation, tool calling, and offline Ollama support.

Python-based MCP server enabling context-aware AI integration with LiquidPlanner data.

Audits AWS SCP configurations, compares policy details and targets, and helps troubleshoot governance across AWS Organizations.

A simple Model Context Protocol (MCP) server for deep research with ChatGPT

Fast protocol-based toolkit enabling direct Philips Hue Bridge control via Python with color management.

Real-time CodePipeline integration using TypeScript and WebSocket transport, with strong typing and modular adapters for flexible, context-rich pipeline communication.

FastAPI-based scaffold with modular client tooling, lightweight testing, and built-in inspection workflows.

PostgreSQL integration with Claude AI for multi-channel responses, asynchronous data handling, and customizable tools.

Exploring the future of automation through MCP (Model Context Protocol) servers