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Vinkius
Open WebUI

Open WebUI MCP Server with 12 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

Manage your Open WebUI instance — list models, handle chat completions, and manage RAG collections directly from any AI agent. Vinkius routes your AI agents directly to Open WebUI through a governed connection. 12 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
Open WebUI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the Open WebUI MCP Server?

The Open WebUI MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to Open WebUI via 12 tools. Manage your Open WebUI instance — list models, handle chat completions, and manage RAG collections directly from any AI agent. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (12)

add_file_to_collectionchat_completedchat_completionscreate_new_chatget_file_statuslist_modelsollama_embedollama_generateollama_tagsprocess_web_urlsend_messageupload_file

Tools for your AI Agents to operate Open WebUI

Ask your AI agent "List all models available in my Open WebUI instance." and get the answer without opening a single dashboard. With 12 tools connected to real Open WebUI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Open WebUI App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 12 Open WebUI tools with your AI agents right now

Vinkius routes your AI agents to Open WebUI through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
add

Add file to collection on Open WebUI

Add a file to a knowledge collection

chat

Chat completed on Open WebUI

Run outlet filters for completed chat

chat

Chat completions on Open WebUI

OpenAI-compatible chat completion

create

Create new chat on Open WebUI

Must generate UUIDs for message IDs. Create a new chat (Backend-Controlled Flow)

get

Get file status on Open WebUI

Check file processing status

list

List models on Open WebUI

Retrieve all models

ollama

Ollama embed on Open WebUI

Ollama API Embeddings

ollama

Ollama generate on Open WebUI

Ollama API Generate Completion

ollama

Ollama tags on Open WebUI

List Ollama models

process

Process web url on Open WebUI

Process a web URL into a collection

send

Send message on Open WebUI

Anthropic-compatible message generation

upload

Upload file on Open WebUI

Content is extracted and stored in the vector DB. Provide file content as base64. Upload a file for RAG

What the Open WebUI MCP Server unlocks

Connect your Open WebUI instance to any AI agent and take full control of your local and cloud LLM orchestration through natural conversation.

What you can do

  • Model Management — Use list_models to fetch all available models including Ollama, OpenAI, and Open WebUI Functions.
  • RAG & Knowledge Base — Upload files with upload_file, process web content via process_web_url, and organize them into collections using add_file_to_collection.
  • Chat Orchestration — Create and manage backend-controlled chats with create_new_chat or use OpenAI/Anthropic compatible endpoints like chat_completions and send_message.
  • Native Ollama Support — Directly interact with the Ollama API using ollama_generate, ollama_tags, and ollama_embed for local inference tasks.
  • File Processing — Monitor the status of your document ingestion with get_file_status to ensure your RAG context is ready.

How it works

1. Subscribe to this server
2. Enter your Open WebUI Base URL and API Key
3. Start managing your LLM infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • AI Engineers — automate the testing of different models and RAG configurations without leaving the terminal or IDE.
  • Knowledge Managers — quickly ingest documentation and web URLs into Open WebUI collections via simple commands.
  • DevOps Teams — monitor local Ollama instances and manage model availability across the organization.

Frequently asked questions about the Open WebUI MCP Server

How can I check if a model is available in my Open WebUI instance?

You can use the list_models tool. It will return a complete list of all configured models, including those from Ollama, OpenAI, and internal Open WebUI functions.

Can I add a website to my RAG collection using just a URL?

Yes! Use the process_web_url tool. Provide the URL and the target collection name, and the server will scrape and index the content for you.

How do I know when my uploaded file is ready for querying?

After using upload_file, you can check the ingestion progress by calling get_file_status with the returned File ID. It will tell you if the status is 'completed' or 'pending'.

Vinkius AI Gateway

We built the connector to Open WebUI. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Open WebUI to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.