openwebui-mcp-server

openwebui-mcp-server

Connects Claude to Open WebUI, enabling chat management, RAG knowledge bases, files, functions, and prompts directly from Claude.

Category
Visit Server

README

Open WebUI MCP Server

Connect Claude Code and Claude Desktop to your Open WebUI instance. Manage chats, RAG knowledge bases, files, functions, and prompts — directly from Claude.

npm version License: MIT Node.js


What This Does

Open WebUI is a powerful self-hosted AI interface — but until now, you couldn't interact with it from Claude. This MCP server bridges that gap.

Once connected, Claude can search your chat history, build RAG knowledge bases from files you describe, create custom pipeline functions, and manage prompts — all without leaving your conversation.

Who it's for: Claude Code users, Claude Desktop users, AI developers, and Open WebUI power users who want Claude to help manage their AI infrastructure.


Quick Start

Claude Code (3 commands)

# 1. Get your API key from Open WebUI: Settings → Account → API Keys

# 2. Add the MCP server
claude mcp add openwebui \
  -e OPENWEBUI_URL=http://localhost:3000 \
  -e OPENWEBUI_API_KEY=sk-your-key-here \
  -- npx -y openwebui-mcp-server

# 3. Verify it's connected
# In Claude Code, run: /mcp

Claude Desktop

Paste this into your claude_desktop_config.json:

{
  "mcpServers": {
    "openwebui": {
      "command": "npx",
      "args": ["-y", "openwebui-mcp-server"],
      "env": {
        "OPENWEBUI_URL": "http://localhost:3000",
        "OPENWEBUI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Config file locations:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Available Tools (23 total)

Chats

Tool Description
openwebui_list_chats List recent conversations, paginated
openwebui_search_chats Search chat history by keyword
openwebui_get_chat Get full chat with all messages
openwebui_delete_chat Delete a chat (requires confirm)
openwebui_get_chat_tags List all tags used across chats

Knowledge Bases (RAG)

Tool Description
openwebui_list_knowledge List all knowledge base collections
openwebui_get_knowledge Get collection details and file list
openwebui_create_knowledge Create a new collection
openwebui_update_knowledge Update name or description
openwebui_add_file_to_knowledge Add uploaded file to a collection
openwebui_remove_file_from_knowledge Remove file from a collection

Files

Tool Description
openwebui_list_files List all uploaded files
openwebui_upload_file Upload file (base64 content)
openwebui_get_file_info Get file metadata
openwebui_delete_file Delete a file (requires confirm)

Functions (Pipes, Filters, Actions)

Tool Description
openwebui_list_functions List all functions by type
openwebui_get_function Get function with source code
openwebui_create_function Create a new Python function
openwebui_update_function Update function code or metadata
openwebui_delete_function Delete a function (requires confirm)

Models

Tool Description
openwebui_list_models List all available models

Prompts

Tool Description
openwebui_list_prompts List all saved prompts
openwebui_create_prompt Create a new saved prompt
openwebui_update_prompt Update prompt title or content
openwebui_delete_prompt Delete a prompt (requires confirm)

System

Tool Description
openwebui_get_status Check health, version, and config

Configuration

Variable Required Description
OPENWEBUI_URL Yes Base URL (e.g. http://localhost:3000)
OPENWEBUI_API_KEY Yes Bearer token from Settings → Account → API Keys
DEBUG No Set to openwebui-mcp to log HTTP requests to stderr

Examples

Build a RAG knowledge base

"Create a knowledge base called 'Security Runbooks' for incident response docs"
→ openwebui_create_knowledge(name: "Security Runbooks", ...)
  Knowledge base created. ID: abc-123

"Upload this runbook and add it to Security Runbooks"
→ openwebui_upload_file(filename: "incident-response.md", ...)
→ openwebui_add_file_to_knowledge(knowledge_id: "abc-123", file_id: "xyz-456")
  File added. Now available for RAG retrieval.

Search and review conversations

"Search my chats for any discussion about Kubernetes networking"
→ openwebui_search_chats(query: "kubernetes networking")
  Found 3 chats: [list of results]

"Show me the full conversation from last week about DNS issues"
→ openwebui_get_chat(id: "...")
  [Full conversation displayed]

Create a reusable prompt

"Create a prompt /standup that generates a standup update from {{input}}"
→ openwebui_create_prompt(
    command: "/standup",
    title: "Daily Standup",
    content: "Generate a concise standup update from these notes: {{input}}"
  )
  Prompt created. Type /standup in any Open WebUI chat to use it.

Install a custom pipe function

"Create a pipe function that translates all responses to French"
→ openwebui_create_function(
    id: "french_translator",
    name: "French Translator",
    type: "filter",
    content: "# Python code..."
  )
  Function created. Enable it in Settings → Functions.

Requirements

  • Node.js >= 18.0.0
  • Open WebUI >= 0.3.0 (any self-hosted install)
  • API key from Open WebUI Settings → Account → API Keys

Contributing

See CONTRIBUTING.md for guidelines.

Issues and PRs welcome — especially for new API endpoints added in newer Open WebUI versions.


License

MIT — see LICENSE


Built by Marc — cybersecurity and automation infrastructure at CyberLeda

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured