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MCP Server

open-webui

by open-webui149kPythonUpdated 2026-08-15

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Open WebUI is a self-hosted, extensible AI interface platform that works with Ollama, OpenAI-compatible APIs, and other LLM providers. It offers a complete AI deployment solution with built-in RAG capabilities, multi-model conversations, and offline operation support. Designed for both individual developers and enterprise teams, it provides role-based access control, plugin extensibility, and deployment flexibility through Docker, pip, or Kubernetes.

Key Features

Multi-provider LLM support including Ollama, OpenAI API, LMStudio, GroqCloud, Mistral, vLLM, and other OpenAI-compatible endpoints
Built-in RAG system with 9 vector database options (ChromaDB, PGVector, Qdrant, Milvus, Elasticsearch, OpenSearch, Pinecone, S3Vector, Oracle 23ai) and hybrid search with reranking
Plugin ecosystem supporting Filters, Actions, Pipes, Tools, Skills, MCP, MCPO, and OpenAPI tool servers for custom integrations
Granular RBAC with user groups, permissions, and per-model access control for secure multi-user deployments
Web search integration with 20+ providers including SearXNG, Brave, Kagi, Tavily, Perplexity, and Google PSE for augmented responses
Voice and video call support with multiple STT engines (Whisper, OpenAI, Deepgram, Azure) and TTS providers (ElevenLabs, OpenAI, Azure)
Enterprise authentication via LDAP, Active Directory, OAuth, trusted headers, and SCIM 2.0 provisioning for Okta, Azure AD, and Google Workspace
Channels for real-time team collaboration, persistent memory across conversations, and calendar-based automation scheduling

Use Cases

  • 01Self-hosted AI chat interface for teams requiring full data control and offline operation
  • 02Enterprise knowledge management with RAG integration pulling from internal documents and cloud storage (Google Drive, OneDrive, SharePoint)
  • 03Multi-model AI evaluation and testing with built-in arena, A/B testing, and ELO-based leaderboards
  • 04Automated workflow execution with scheduled prompts and calendar integration for recurring AI tasks
  • 05Development environment integration using Open Terminal for code execution, debugging, and iterative problem-solving within chat
  • 06Cross-platform AI deployment with responsive PWA, native desktop apps, and mobile-optimized interface

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open-webui — FAQ

What is Open WebUI MCP server?+

Open WebUI is a self-hosted AI interface platform that supports Ollama, OpenAI-compatible APIs, and various LLM providers with extensible plugin support including MCP (Model Context Protocol) server integration. It provides a complete web-based interface for AI interactions with RAG, multi-model support, and enterprise features.

How do I install Open WebUI?+

Install Open WebUI via pip with 'pip install open-webui' then run 'open-webui serve', or deploy using Docker with a single command. For Docker, use 'docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main'. Kubernetes deployment is also supported via kubectl, kustomize, or Helm.

Does Open WebUI require API keys?+

API keys are optional and depend on your LLM provider choice. If using Ollama locally, no API keys are needed for fully offline operation. For OpenAI API, set OPENAI_API_KEY; for other cloud providers (GroqCloud, Mistral, OpenRouter), configure their respective API credentials in the settings.

Is Open WebUI free to use?+

Yes, Open WebUI is open-source software available for free self-hosting. An optional Enterprise Plan offers custom branding, SLA support, and LTS versions for organizations requiring enhanced capabilities and commercial support.

Which AI clients and models work with Open WebUI?+

Open WebUI works with any OpenAI-compatible API endpoint, including Ollama for local models, plus LMStudio, GroqCloud, Mistral, OpenRouter, and vLLM. It operates as a standalone web interface accessible through any browser, with native desktop apps available for macOS, Windows, and Linux.

What are the prerequisites for running Open WebUI?+

For pip installation, you need Python 3.11. For Docker deployment, Docker or Docker with Nvidia CUDA toolkit (for GPU acceleration) is required. Database options include SQLite (default) or PostgreSQL; storage can use local filesystem, S3, Google Cloud Storage, or Azure Blob Storage.

How do I install open-webui?+

Open the source repository on GitHub and follow its README. open-webui is a mcp server — MCP Agents Market links you directly to the official repo.

Is open-webui free?+

open-webui is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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