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Open WebUI MCP Server for AutoGenGive AutoGen instant access to 12 tools to Add File To Collection, Chat Completed, Chat Completions, and more

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Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Open WebUI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Ask AI about this MCP Server for AutoGen

The Open WebUI MCP Server for AutoGen is a standout in the Loved By Devs category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="open_webui_agent",
            tools=tools,
            system_message=(
                "You help users with Open WebUI. "
                "12 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Open WebUI
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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

About Open WebUI MCP Server

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

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open WebUI tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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.

The Open WebUI MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Open WebUI tools available for AutoGen

When AutoGen connects to Open WebUI through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-management, rag, model-inference, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

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

Connect Open WebUI to AutoGen via MCP

Follow these steps to wire Open WebUI into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration
04

Explore tools

The workbench discovers 12 tools from Open WebUI automatically

Why Use AutoGen with the Open WebUI MCP Server

AutoGen provides unique advantages when paired with Open WebUI through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open WebUI tools to solve complex tasks

02

Role-based architecture lets you assign Open WebUI tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Open WebUI tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Open WebUI tool responses in an isolated environment

Open WebUI + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Open WebUI MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Open WebUI while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Open WebUI, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Open WebUI data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Open WebUI responses in a sandboxed execution environment

Example Prompts for Open WebUI in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Open WebUI immediately.

01

"List all models available in my Open WebUI instance."

02

"Process the URL 'https://docs.openwebui.com/' into my 'Documentation' collection."

03

"Generate a response using the 'llama3' model for the prompt 'Explain quantum computing'."

Troubleshooting Open WebUI MCP Server with AutoGen

Common issues when connecting Open WebUI to AutoGen through Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Open WebUI + AutoGen FAQ

Common questions about integrating Open WebUI MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Open WebUI tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

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