Open Webui Mcp

@MikiMCPon a year ago

2 MIT

FreeCommunity

AI Systems

Docker version of OpenWebUi and Ollama

What is Open Webui Mcp

open-webui-mcp is a Dockerized version of OpenWebUi and Ollama, designed to facilitate the deployment and management of web user interfaces in a containerized environment.

Use cases

Use cases include creating demo applications, testing web interfaces, and developing user-centric applications in a controlled and reproducible environment.

How to use

To use open-webui-mcp, you need to have Docker installed on your system. Pull the Docker image from the repository and run it using Docker commands to set up the web UI environment.

Key features

Key features include containerization for easy deployment, compatibility with OpenWebUi and Ollama, and the ability to manage web interfaces efficiently within a Docker environment.

Where to use

open-webui-mcp can be used in web development, application prototyping, and environments where rapid deployment of user interfaces is required.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Open Webui Mcp

open-webui-mcp is a Dockerized version of OpenWebUi and Ollama, designed to facilitate the deployment and management of web user interfaces in a containerized environment.

Use cases

Use cases include creating demo applications, testing web interfaces, and developing user-centric applications in a controlled and reproducible environment.

How to use

To use open-webui-mcp, you need to have Docker installed on your system. Pull the Docker image from the repository and run it using Docker commands to set up the web UI environment.

Key features

Key features include containerization for easy deployment, compatibility with OpenWebUi and Ollama, and the ability to manage web interfaces efficiently within a Docker environment.

Where to use

open-webui-mcp can be used in web development, application prototyping, and environments where rapid deployment of user interfaces is required.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

open-webui-mcp

Docker version of OpenWebUi and Ollama

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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