mcp-ui: Building Interactive UIs for AI with Model Context Protocol
This repository profile is provided by osrepos.com, an open source repository discovery platform.
Summary
mcp-ui is an SDK that enables the creation of rich, interactive user interfaces for AI tools, built on the Model Context Protocol (MCP). It standardizes UI delivery over the protocol, allowing developers to craft next-gen UI experiences. This project provides client and server SDKs in multiple languages, making it easier to integrate dynamic UIs into AI applications.
Repository Information
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
mcp-ui pioneered the concept of interactive UI over the Model Context Protocol (MCP), enabling rich web interfaces for AI tools. This SDK implements the MCP Apps standard, which standardizes UI delivery over the protocol. It allows developers to create dynamic UI resources that can be rendered by MCP Apps Hosts, significantly enhancing user interaction with AI agents.
The project offers @mcp-ui/server and @mcp-ui/client for TypeScript, alongside server SDKs for Ruby (mcp_ui_server) and Python (mcp-ui-server). These tools empower developers to build next-generation UI experiences that seamlessly integrate with the MCP ecosystem.
Installation
Getting started with mcp-ui is straightforward, with SDKs available for multiple programming languages.
TypeScript
Install the client and server packages using your preferred package manager:
npm install @mcp-ui/server @mcp-ui/client
# or pnpm
pnpm add @mcp-ui/server @mcp-ui/client
# or yarn
yarn add @mcp-ui/server @mcp-ui/client
Ruby
Install the Ruby server gem:
gem install mcp_ui_server
Python
Install the Python server package:
pip install mcp-ui-server
# or uv
uv add mcp-ui-server
Examples
mcp-ui provides a variety of examples to help you understand its capabilities and integrate it into your projects.
Client Examples
- Goose: An open-source AI agent that supports
mcp-ui. - LibreChat: An enhanced ChatGPT clone with
mcp-uisupport. - ui-inspector: A tool to inspect local
mcp-ui-enabled servers. - MCP-UI Chat: An interactive chat application built with the
mcp-uiclient.
Server Examples
- TypeScript Server Demo: A simple TypeScript server demonstrating how to generate UI resources.
- Ruby Server Demo: A barebones demo server showcasing the use of
mcp_ui_serverandmcpgems. - Python Server Demo: A simple demo server illustrating the use of the
mcp-ui-serverPython package.
Why Use mcp-ui?
mcp-ui offers compelling advantages for developers looking to enhance their AI applications with rich user interfaces:
- Interactive AI Experiences: Transform static AI responses into dynamic, interactive user interfaces, significantly enhancing user engagement and utility.
- Standardized UI Delivery: Leverage the MCP Apps specification for consistent UI integration across various AI hosts, ensuring broad compatibility.
- Multi-language Support: Develop UI resources using TypeScript, Ruby, or Python, catering to diverse development environments and preferences.
- Broad Host Compatibility:
@mcp-uisupports both modern MCP Apps hosts and legacy MCP-UI hosts, with specialized adapters available for platforms like ChatGPT, ensuring your UIs work where they are needed. - Robust Security: All remote code is executed within sandboxed iframes, prioritizing host and user security by isolating UI content.
- Extensible Architecture: The SDK supports various content types, including HTML and remote-DOM, and is designed for future expansion with component libraries and declarative UI, providing a future-proof solution.
Links
Explore mcp-ui further through its official channels:
- GitHub Repository: https://github.com/MCP-UI-Org/mcp-ui
- Official Documentation: https://mcpui.dev
- Discord Community: https://discord.gg/CEAG4KW7ZH
Related repositories
Similar repositories that may be relevant next.
Axolotl: Streamlining LLM Fine-tuning with a Powerful Open-Source Framework
July 7, 2026
Axolotl is a comprehensive, free, and open-source framework designed to simplify the post-training and fine-tuning processes for large language models (LLMs). It offers extensive model support, diverse training methods, and robust performance optimizations, making it an invaluable tool for researchers and developers. With easy configuration and cloud-ready deployment, Axolotl empowers users to efficiently customize and enhance LLMs.
Zero: The AI Coding Agent for Your Local Terminal
July 6, 2026
Zero is an innovative AI coding agent designed for your local terminal, offering powerful capabilities to inspect repositories, edit files, run commands, and utilize browser/terminal helpers. It provides durable local sessions while giving users full control over the AI model and permission levels. This tool empowers developers with a customizable and secure AI assistant directly within their development environment.
Griptape: Modular Python Framework for AI Agents and Workflows
July 5, 2026
Griptape is a modular Python framework designed to simplify the development of generative AI applications. It provides a flexible set of abstractions for working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various other AI components. With its structured approach, Griptape enables developers to build sophisticated AI agents and workflows efficiently.
Memoripy: An AI Memory Layer for Context-Aware Applications
July 5, 2026
Memoripy is a Python library designed to provide an AI memory layer for context-aware applications. It offers both short-term and long-term storage, semantic clustering, and optional memory decay. This robust tool helps AI systems manage and retrieve relevant information efficiently, supporting various LLM APIs like OpenAI and Ollama.
Source repository
Open the original repository on GitHub.
10 counted GitHub visits