Browse and discover Model Context Protocol compatible clients.
Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents
Detect and reduce wasteful AI token usage by warning on large outputs, verbose logs, and repeated history in MCP-compatible clients.
Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.
A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.
Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.
Manage and install MCP servers across multiple AI clients from a single CLI for seamless Model Context Protocol integration.
Explore and analyze your iMessage history locally with 26 tools powered by AI, fully compatible with the Model Context Protocol.
Structure AI-assisted TDD with a plan-apply-unify loop for clearer tests, tighter context, and steady code progress
Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.
ADP MCP Server — Model Context Protocol server for AI assistant integration (read-only split from app-dev-panel/app-dev-panel)
Build and manage Claude agent workflows with a TypeScript and SvelteKit app for structured AI automation and local SQLite storage
Control macOS Mail.app with AI to triage inboxes, draft replies, search, move, delete, and label email using natural language
Curate and access MCP servers and tools tailored for Korea’s legal, commerce, public data, finance, and real estate sectors.
A Python-based AI tool that optimizes resumes using multiple AI providers (Mistral, OpenAI, Anthropic, DeepSeek). It provides both a CLI interface and a Flask-based RESTful API to enhance resume conte
🛠 Build a lightweight client-server system using Node.js and TypeScript, demonstrating structured communication with a focus on clarity and simplicity.