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Chat UI

v1.0.0•Communication•stable

Single-File AI Chatbot UI with Multimodal & MCP Support: An All-in-One HTML File for a Streamlined Chatbot Conversational Interface

ai-chatbotchat-uichatbotchatgpthtml
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What is Chat UI?

Chat UI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to single-file ai chatbot ui with multimodal & mcp support: an all-in-one html file for a streamlined chatbot conversational interface

Single-File AI Chatbot UI with Multimodal & MCP Support: An All-in-One HTML File for a Streamlined Chatbot Conversational Interface

This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Single-File AI Chatbot UI with Multimodal & MCP Support: An

Use Cases

Single-file AI chatbot interface
Multimodal chat with MCP support
Streamlined conversational UI
AI-QL

Maintainer

LicenseApache-2.0
Languagehtml
Versionv1.0.0
UpdatedMay 8, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx chat-ui

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Chat UI

Chat UI is a single-file AI chatbot interface that bundles a full conversational UI into one self-contained HTML file with Vue 3 and TypeScript. It supports multimodal inputs, MCP (Model Context Protocol) integration via IPC with desktop backends, and is compatible with any OpenAI-format API endpoint including HuggingFace TGI and vLLM. Teams use it as a lightweight, deployable chat frontend that requires no build step and can be hosted with a simple Python server or Docker container.

Prerequisites

  • A modern web browser with JavaScript enabled
  • An API endpoint compatible with the OpenAI chat completions format (OpenAI, HuggingFace TGI, vLLM, Cloudflare AI, etc.)
  • API key or credentials for your chosen LLM provider
  • Python 3 or Docker for serving the file locally (optional)
  • An MCP-compatible desktop backend if using MCP tool features
1

Download the single-file Chat UI

Clone the repository or download the single HTML file directly. The entire UI is self-contained in one file with no build step required.

git clone https://github.com/AI-QL/chat-ui.git
cd chat-ui
2

Serve the file locally

Launch a local HTTP server to open the UI in your browser. Python's built-in server works perfectly for this.

python3 -m http.server 8000
3

Or run via Docker

Pull and run the pre-built Docker image to serve the Chat UI on port 8080 without any local dependencies.

docker run -p 8080:8080 -d aiql/chat-ui
4

Configure your API endpoint and key

Open the UI in your browser, then enter your LLM API endpoint URL and API key in the settings panel. The UI defaults to the OpenAI ChatGPT API format but can connect to any compatible endpoint.

5

Enable MCP support (optional)

To use MCP tool integrations, connect Chat UI as a sidecar to an MCP-compatible desktop backend via IPC. Download a configuration template from the ./example/config directory and import it in the settings panel.

Chat UI Examples

Client configuration

When using Chat UI as an MCP client itself, it connects to backends via IPC. If you want to expose Chat UI through an MCP server wrapper, use a config like this.

{
  "mcpServers": {
    "chat-ui": {
      "command": "npx",
      "args": ["chat-ui"]
    }
  }
}

Prompts to try

Once connected to an LLM endpoint, use Chat UI for various conversational and multimodal tasks.

- "Analyze this image and describe what you see" (upload an image in the chat)
- "Summarize the following document" (paste long text)
- "Help me debug this Python function" (paste code)
- "Compare the features of these two JSON configs" (paste both)

Troubleshooting Chat UI

Page fails to load or shows a blank screen

Clear your browser cache and cookies using the Network inspector (F12 → Network → right-click → Clear browser cache). Then hard-reload the page.

API requests fail with CORS errors

Your LLM API endpoint may not allow browser-based requests from localhost. Use a proxy or configure CORS headers on your API server, or use the Docker deployment behind a reverse proxy.

MCP tools are not appearing in the UI

MCP support requires a compatible desktop backend connected via IPC. Ensure your backend is running and that you have imported the correct configuration template from the ./example/config directory.

Frequently Asked Questions about Chat UI

What is Chat UI?

Chat UI is a Model Context Protocol (MCP) server that single-file ai chatbot ui with multimodal & mcp support: an all-in-one html file for a streamlined chatbot conversational interface It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Chat UI?

Follow the installation instructions on the Chat UI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Chat UI?

Chat UI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Chat UI free to use?

Yes, Chat UI is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Browse More Communication MCP Servers

Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

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Quick Config Preview

{ "mcpServers": { "chat-ui": { "command": "npx", "args": ["-y", "chat-ui"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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