Build effective agents using Model Context Protocol and simple workflow patterns

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.

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#.

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.

MCP Fusion - The TypeScript framework for secure MCP servers.

Agent-native TypeScript framework for MCP servers.

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

Rails Engine with MCP compliant Spec.

Dext - Modern Full Stack Framework for Delphi

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

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.

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.