The official TypeScript SDK for Model Context Protocol servers and clients

The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI

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.

Build effective agents using Model Context Protocol and simple workflow patterns

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#.

Connect AI agents across any network — zero config, encrypted, skill-based routing

1flowbase: self-hosted AI gateway with protocol translation, dispatch, chat logs, built-in backend & React blocks to combine AI with business data. All managed by your Agent via MCP.

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.

Enterprise Governance Layer (Identity, RBAC, Credentials, Auditing, Logging, Tracing) for the Model Context Protocol SDK

MCP Server Framework and Tool Development library for building custom capabilities into agents.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

AI agent microservice

MCP Fusion - The TypeScript framework for secure MCP servers.

Agent-native TypeScript framework for MCP servers.

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

The agentic server framework.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

🚀Apache RocketMQ build in Rust🦀. Faster, safer, and with lower memory usage. ⭐ Star to support our work❤️!

Rails Engine with MCP compliant Spec.

Dext - Modern Full Stack Framework for Delphi

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.