The official ModelContextProtocol (MCP) server for Magic UI, providing details on implementing a rich set of UI components and effects, and supporting integration with multiple clients.

This project implements an MCP server based on the SSE transport layer and Durable Objects, supports integration with the ModelContextProtocol TypeScript SDK, and provides end-to-end operation steps.

The ModelContextProtocol (MCP) Java SDK is a standardized protocol implementation for communication between AI models and external tools or resources. It provides Java development toolkits for both clients and servers, supports synchronous and asynchronous operations, and includes functions such as resource management, tool invocation, and error handling.

The Smallest AI MCP Server is a production-grade ModelContextProtocol server designed for the Waves Text-to-Speech and Voice Cloning platform, providing a fast and secure AI voice workflow solution.

This project is a development environment integrating the ModelContextProtocol (MCP) SDK and servers. It manages the Python and TypeScript SDKs and officially maintained servers through Git sub - modules, aiming to provide basic context and tool support for developing new MCP servers.

This project is a Model Context Protocol (MCP) server based on TypeScript, implemented using @modelcontextprotocol/sdk. It provides complete CRUD functionality for Requestly rules and groups, can run as an stdio MCP server, and supports integration with MCP clients such as VS Code.

The Figma MCP Server is a service based on the ModelContextProtocol that allows AI assistants to interact with Figma files through the protocol, supporting viewing, commenting, and analyzing design files.