Open WebUI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Add File To Collection, Chat Completed, Chat Completions, and more
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Open WebUI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Open WebUI MCP Server for OpenAI Agents SDK is a standout in the Loved By Devs category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Open WebUI Assistant",
instructions=(
"You help users interact with Open WebUI. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Open WebUI"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Open WebUI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Open WebUI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Model Management — Use
list_modelsto fetch all available models including Ollama, OpenAI, and Open WebUI Functions. - RAG & Knowledge Base — Upload files with
upload_file, process web content viaprocess_web_url, and organize them into collections usingadd_file_to_collection. - Chat Orchestration — Create and manage backend-controlled chats with
create_new_chator use OpenAI/Anthropic compatible endpoints likechat_completionsandsend_message. - Native Ollama Support — Directly interact with the Ollama API using
ollama_generate,ollama_tags, andollama_embedfor local inference tasks. - File Processing — Monitor the status of your document ingestion with
get_file_statusto ensure your RAG context is ready.
The Open WebUI MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 file to collection on Open WebUI
Add a file to a knowledge collection
Chat completed on Open WebUI
Run outlet filters for completed chat
Chat completions on Open WebUI
OpenAI-compatible chat completion
Create new chat on Open WebUI
Must generate UUIDs for message IDs. Create a new chat (Backend-Controlled Flow)
Get file status on Open WebUI
Check file processing status
List models on Open WebUI
Retrieve all models
Ollama embed on Open WebUI
Ollama API Embeddings
Ollama generate on Open WebUI
Ollama API Generate Completion
Ollama tags on Open WebUI
List Ollama models
Process web url on Open WebUI
Process a web URL into a collection
Send message on Open WebUI
Anthropic-compatible message generation
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 OpenAI Agents SDK via MCP
Follow these steps to wire Open WebUI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Open WebUI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Open WebUI through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Open WebUI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Open WebUI MCP Server delivers measurable value.
Automated workflows: build agents that query Open WebUI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Open WebUI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Open WebUI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Open WebUI to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Open WebUI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Open WebUI immediately.
"List all models available in my Open WebUI instance."
"Process the URL 'https://docs.openwebui.com/' into my 'Documentation' collection."
"Generate a response using the 'llama3' model for the prompt 'Explain quantum computing'."
Troubleshooting Open WebUI MCP Server with OpenAI Agents SDK
Common issues when connecting Open WebUI to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Open WebUI + OpenAI Agents SDK FAQ
Common questions about integrating Open WebUI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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