Which models can I use?

Any model available on your API key: GPT-4o, GPT-4o-mini, GPT-4-turbo, o1, o3 — use `list_models` to see all.

Can I generate images?

Yes! Use `generate_image` with a text prompt. Supports 1024x1024, 1792x1024, and 1024x1792 sizes.

How does content moderation work?

The `moderate_content` tool analyzes text against OpenAI's content policy, flagging categories like hate, violence, and self-harm with confidence scores.

OpenAI MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: OpenAI
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="openai_agent",
            tools=tools,
            system_message=(
                "You help users with OpenAI. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

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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

About OpenAI MCP Server

Connect the OpenAI API to any AI agent and unlock the full power of GPT models as composable tools.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use OpenAI tools. Connect 10 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

Chat Completions — Generate responses from GPT-4o, GPT-4o-mini, and other models
Image Generation — Create images with DALL-E 3 from text descriptions
Embeddings — Convert text to vector representations for semantic search
Content Moderation — Check text for policy violations automatically
Fine-tuning — Create and monitor custom model training jobs
File Management — List uploaded files for training and assistants
Assistants — Browse configured OpenAI Assistants
Structured Output — Generate structured JSON responses from prompts

The OpenAI MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect OpenAI to AutoGen via MCP

Follow these steps to integrate the OpenAI MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from OpenAI automatically

Why Use AutoGen with the OpenAI MCP Server

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

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

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

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

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

OpenAI + AutoGen Use Cases

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

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

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

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

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

OpenAI MCP Tools for AutoGen (10)

These 10 tools become available when you connect OpenAI to AutoGen via MCP:

chat_completion

Specify model (gpt-4o, gpt-4o-mini, etc.) and messages array as JSON. Generate a chat completion using OpenAI models

create_embedding

Create text embeddings

create_fine_tune

Requires a previously uploaded JSONL training file ID. Create a fine-tuning job

generate_image

Returns the image URL. Generate an image with DALL-E 3

list_assistants

List OpenAI Assistants

list_files

List uploaded files

list_fine_tunes

List fine-tuning jobs

list_models

List available OpenAI models

moderate_content

Check content for policy violations

structured_output

Provide a system prompt and user message. Generate structured JSON output from a prompt

Example Prompts for OpenAI in AutoGen

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

"Ask GPT-4o to summarize this document in 3 bullet points."

"Generate an image of a futuristic cityscape at sunset."

"Check if this text violates content policies."

Troubleshooting OpenAI MCP Server with AutoGen

Common issues when connecting OpenAI to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

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

OpenAI + AutoGen FAQ

Common questions about integrating OpenAI MCP Server with AutoGen.

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 OpenAI tools during their conversation turns.

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.