Scaffold production-ready MCP servers in seconds

Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.

MCP server that fetches a URL from the internet and extracts its contents as markdown.

MCP Server for SlimContext - AI chat history compression tools

Lightweight, model-agnostic chat history compression (trim + summarize) for AI assistants.

A backend-agnostic chat UI built with Next.js and React that supports real-time messaging, thread management, and streaming responses.

This repository contains multiple complete AI agent projects, each demonstrating different approaches to building AI-powered applications. Whether you're building conversational agents, automation tools, or intelligent assistants, you'll find practical examples and starter templates here.

Agent Initializr is a project that helps you scaffold scalable AI agent backends in JavaScript/TypeScript using NestJS and LangGraph. It generates a production-ready backend that you can use as-is or extend with your own core business logic.