Template to quickly set up your own MCP server
Creates a simple MCP tool server with "streaming" HTTP.
TypeScript Model Context Protocol (MCP) server boilerplate providing IP lookup tools/resources. Includes CLI support and extensible structure for connecting AI systems (LLMs) to external data sources like ip-api.com. Ideal template for creating new MCP integrations via Node.js.
Getting Started with Remote MCP Servers using Azure Functions (Python)
A complete MCP server template that include vitamins (oauth authentication included)
A minimal Rails API template for creating MCP (Model Context Protocol) servers with robust tool execution capabilities and examples.
An interactive CLI for scaffolding ready-to-develop MCP servers and clients in TypeScript or JavaScript.

A CLI tool for building Go applications.
The Bank API is a design reference project suitable to bootstrap development for a compliant and modern API.
SaaS boilerplate/starter-kit in Go+React with Stripe integration, multi-tenant support, comprehensive features and AI-agent ready
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
An ultra-lightweight, sovereign logic execution engine powered by Go. Run APIs, cron schedules, templates, and background tasks on a custom stack-based bytecode virtual machine with nanosecond precision.

⚡ Lara Dashboard - CMS by Laravel - All In One solution to start your Laravel Application from Basic to Enterprise. Manages Users, Roles, Permissions, Modules, Settings, Translations, Contents, Monitoring and every actions of your Laravel application. Complete solution for Laravel application with Tailwind, Livewire, Rest API, Unit-Tests and more.
A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes