The official TypeScript SDK for Model Context Protocol servers and clients
Mastra is the modern TypeScript framework for AI-powered applications and agents.
A TypeScript framework for building MCP servers.
Agent-native TypeScript framework for MCP servers.
TypeScript-first framework for the Model Context Protocol (MCP). You write clean, typed code; FrontMCP handles the protocol, transport, DI, session/auth, and execution flow.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
An interactive CLI for scaffolding ready-to-develop MCP servers and clients in TypeScript or JavaScript.
MCP Fusion - The TypeScript framework for secure MCP servers.

Skybridge is a full-stack TypeScript framework for MCP Apps and ChatGPT Apps. Type-safe. React-powered. Platform-agnostic.
Intelligent web scraping Claude Code skill with automatic strategy selection and TypeScript-first Apify Actor development
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control Unreal Engine through the native C++ Automation Bridge plugin. Built with TypeScript and C++.
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.

A platform designed for building enterprise-grade, multi-tenant products using Azure, .NET, React, TypeScript, Infrastructure as Code, etc.
A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.
C++ MCP SDK - build Model Context Protocol (MCP) servers and clients in C++ / CPP. Enterprise-grade security, observability, connectivity. Stdio, HTTP+SSE, Streamable HTTP, WebSocket, TCP transports. Bindings for Python, TypeScript, Go, Rust, Java, C#.
Claude Code ile production-ready SaaS kurun — Solopreneur'ler için skill seti
One-stop shop for building AI-powered products and businesses with Stripe.
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
MCP Server for Dockhand Docker Management - exposes 130+ API endpoints as MCP tools