Open WebUI Knowledge Base MCP Server

Open WebUI Knowledge Base MCP Server

MCP server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants to search and access knowledge bases.

Category
Visit Server

README

Open WebUI Knowledge Base MCP Server

<div align="center">

Open WebUI Transport Python Tests

MCP server for Open WebUI Knowledge Bases – Search and access your knowledge bases from Cursor, Claude Desktop, and other MCP clients

FeaturesQuick StartUsageAvailable ToolsContributing

</div>

An MCP (Model Context Protocol) server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants like Cursor and Claude Desktop to search and access knowledge bases.

Features

  • 🔍 Semantic Search - Search knowledge bases using semantic search
  • 📚 Knowledge Base Management - List and get information about knowledge bases
  • 👥 Multi-User Support - Each connection uses its own API token for isolation
  • 🌐 Dual Transport Modes - Supports both stdio (local) and HTTP (remote) transports
  • 🔒 Secure - Per-connection authentication, input validation, rate limiting, CORS protection

Quick Start

Prerequisites

  • Python 3.8+ or Docker
  • Open WebUI instance with API access
  • API token from Open WebUI (Settings → Account → API keys)

Installation

pip install -r requirements.txt

Or using uvx:

pip install uv  # or: brew install uv
uvx --from . python mcp_server.py

Usage

stdio Mode (Local)

export OPEN_WEBUI_API_URL="https://your-open-webui-instance.com/api/v1"
export OPEN_WEBUI_API_TOKEN="sk-your-token-here"
python mcp_server.py

HTTP Mode (Production)

Docker Compose:

# Create .env file
echo "OPEN_WEBUI_API_URL=https://your-open-webui-instance.com/api/v1" > .env

# Start server
docker-compose up -d

# View logs
docker-compose logs -f

Direct Python:

export OPEN_WEBUI_API_URL="https://your-open-webui-instance.com/api/v1"
export MCP_TRANSPORT="http"
export MCP_HTTP_PORT="8001"
python mcp_server.py

Server endpoints:

  • MCP: http://localhost:8001/mcp
  • Health: http://localhost:8001/health

Configuring Cursor to use your MCP server

Cursor: stdio Mode

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "open-webui-knowledge": {
      "command": "uvx",
      "args": ["--from", "/path/to/open-webui-mcp-server", "python", "/path/to/open-webui-mcp-server/mcp_server.py"],
      "env": {
        "OPEN_WEBUI_API_URL": "https://your-open-webui-instance.com/api/v1",
        "OPEN_WEBUI_API_TOKEN": "sk-your-token-here"
      }
    }
  }
}

Cursor: HTTP Mode

{
  "mcpServers": {
    "open-webui-knowledge": {
      "url": "http://localhost:8001/mcp",
      "headers": {
        "Authorization": "Bearer sk-your-token-here"
      }
    }
  }
}

Available Tools

  • list_knowledge_bases - List all accessible knowledge bases

  • search_knowledge_base - Search a knowledge base using semantic search

    • knowledge_base_id (required): The ID of the knowledge base
    • query (required): Your search query
    • k (optional): Number of results (default: 5)
  • get_knowledge_base_info - Get detailed information about a knowledge base

    • knowledge_base_id (required): The ID of the knowledge base

Environment Variables

Variable Description Default
OPEN_WEBUI_API_URL Open WebUI API base URL Required
OPEN_WEBUI_API_TOKEN Default API token (optional) None
MCP_TRANSPORT Transport mode: stdio or http stdio
MCP_HTTP_HOST HTTP server host 0.0.0.0
MCP_HTTP_PORT HTTP server port 8001
MCP_CORS_ORIGINS Comma-separated CORS origins (empty = no CORS) Empty
MCP_RATE_LIMIT_PER_IP Rate limit per IP (e.g., "1000/minute") 1000/minute
MCP_RATE_LIMIT_PER_TOKEN Rate limit per token 1000/minute
MCP_RATE_LIMIT_HEALTH Rate limit for health endpoint 10/minute

Security

  • Input validation and sanitization
  • Rate limiting (per-IP and per-token)
  • CORS protection (disabled by default)
  • Request size limits (10MB max)
  • Error message sanitization
  • Token validation

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

This project is licensed under the MIT License.


<div align="center">

Built with ❤️ by Ronas IT

Professional development services • Open source contributors

WebsiteGitHubEmail

</div>

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