Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encrypted local-first

A generic, modular server for implementing the Model Context Protocol (MCP).

Simple, modular, and observable Go framework for backend applications.

Modular music-composition skill for AI assistants — harmony, melody, form, 24+ genres.

A lightweight, modular Java application framework for web and CLI development, designed for AI integration and plugin-based architecture. Enabling developers to create robust solutions with ease for building efficient and scalable applications.

A Python framework for modular, self-contained skill management for machines.

A modular, extensible MCP Server for managing Storyblok spaces, stories, components, assets, workflows, and more via the Model Context Protocol (MCP).

Modular SenseNova skills for building AI-powered office assistants and productivity workflows

A modular external attack surface mapping tool integrating tools for automated reconnaissance and bug bounty workflows.

AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion

Modular MCP server for OPNsense firewall management - 88 tools providing access to 2000+ methods through AI assistants

A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

The Runtime Where AI Agents Build, Ship, and Evolve. Pulse Editor is a modular, cross-platform, AI-powered productivity platform with federated app collaboration and extensible workflows.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

InnoShop is an AI-powered open source e-commerce system built on Laravel 13. It supports multiple AI models and native MCP (Model Context Protocol) for intelligent automation, with multi-language and multi-currency out of the box. Modular architecture and flexible plugin/theme system make it highly adaptable to diverse business needs.

Cross-platform .NET performance engineering skill for coding agents, covering CPU, memory, GC, benchmarking, concurrency, startup, native profiling, GPU rendering, and production diagnostics on macOS, Windows, and Linux.