MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

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

A high-performance, asynchronous toolkit for building MCP servers and clients in Rust.
a lib to build MCP clients and MCP servers in Clojure(script)
MCP Fusion - The TypeScript framework for secure MCP servers.
UI over MCP. Create next-gen UI experiences with the protocol and SDK!
A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust.
LangChain 🔌 MCP
A chatbot implementation compatible with MCP (terminal / streamlit supported)
A generic, modular server for implementing the Model Context Protocol (MCP).
ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI.
MCP Server Framework and Tool Development library for building custom capabilities into agents.
A lightweight Ruby framework for building MCP servers with a Sinatra-like DSL
A type-safe solution to remote MCP communication, enabling effortless integration for centralized management of Model Context.
Agent-native TypeScript framework for MCP servers.
A TypeScript SDK for implementing Model Context Protocol (MCP) over MQTT, supporting both browser and Node.js environments.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.
Absurdly easy Model Context Protocol Servers in Typescript
Rails Engine with MCP compliant Spec.
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#.
Build effective agents using Model Context Protocol and simple workflow patterns
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing