Mcp-Ui

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mcp-ui is an open-source UI SDK that enables the creation of rich web interfaces for AI tools, implementing the Model Context Protocol (MCP) Apps standard. It provides SDKs in TypeScript, Python, and Ruby for building interactive UI experiences.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is mcp-ui?

mcp-ui is an open-source UI SDK designed to facilitate the creation of interactive web interfaces for AI tools, adhering to the Model Context Protocol (MCP) Apps standard. It offers SDKs for TypeScript, Python, and Ruby, allowing developers to build UI resources and link them to AI tools. The SDK supports both the recommended MCP Apps pattern, which links UIs via `_meta.ui.resourceUri`, and a legacy MCP-UI pattern for hosts not yet supporting the full standard. Key features include `createUIResource` for defining UI content, `AppRenderer` for rendering UIs in MCP Apps hosts, and `UIResourceRenderer` for legacy hosts. It also includes platform adapters for seamless integration with environments like ChatGPT's Apps SDK, translating MCP-UI protocol calls to host-specific APIs.

Best used for

Ideal for developers who need to build interactive user interfaces for their AI tools, integrate these UIs with various AI agent hosts, and standardize UI delivery using the Model Context Protocol. Especially valuable for creating next-gen UI experiences for AI applications in TypeScript, Python, or Ruby.

Common actions

build AI UIs

integrate AI tools

develop interactive interfaces

standardize UI protocol

collaborationopen-sourceautomated workflowdeepfakelow-code/no-code"AI Agents"face swappinggithub copilotworkflows

Capabilities

Key features

Create UI resources
Render tool UIs
TypeScript SDK
Python SDK
Ruby SDK
MCP Apps standard
Platform adapters

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the Model Context Protocol (MCP) Apps standard?

The MCP Apps standard defines how AI tools link to their user interfaces, primarily through a `_meta.ui.resourceUri` field. This allows hosts to fetch and render the UI alongside tool results, ensuring a standardized way for UIs to interact with AI agents.

Which programming languages are supported by mcp-ui for creating UI resources?

mcp-ui provides SDKs for creating UI resources in TypeScript, Python, and Ruby. This allows developers to integrate the UI creation process into their preferred backend environments, supporting a wide range of AI tool development workflows.

Can mcp-ui integrate with existing AI agent platforms like ChatGPT?

Yes, mcp-ui includes platform adapters, such as the Apps SDK Adapter, which translates MCP-UI protocol calls to host-specific APIs like `window.openai`. This enables widgets built with mcp-ui to work seamlessly in environments like ChatGPT that support the Apps SDK.

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