Bring Multi Agent Systems
to OpenAI Agents SDK
Create your Vinkius account to connect AutoGen to OpenAI Agents SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the AutoGen MCP Server?
Connect your AutoGen Studio instance to any AI agent and take full control of your multi-agent topologies and execution memory spaces through natural conversation.
What you can do
- Sessions — Create and manage blank, isolated memory spaces for your multi-agent workflows to run cleanly
- Messages — Dispatch human prompts and retrieve deep agent-to-agent conversational traces inside Microsoft's logging structures
- Agents — Map out and dynamically define customized LLM roles (User_Proxy, Coder, Critic) using Python-based parameters
- Workflows & Skills — Visualize routing topographies, available graph deployments, and injected native Python capabilities
- Models — Audit existing constrained fallback OpenAI configurations natively stored in the engine
How it works
- Subscribe to this server
- Provide your AutoGen Studio instance Base URL
- Start dispatching nested groups of AI agents directly from Claude, Cursor, or any MCP-compatible client
Your primary agent can now command and debug secondary swarms of specialized agents dynamically.
Who is this for?
- AI Engineers — audit running agent topologies, trace deep execution logs, and iterate on Python skills without swapping contexts
- Product Managers — verify the health and steps of automated backend swarm operations
- Researchers — easily extract deep LLM-to-LLM conversational histories across experimental boundaries for grading
Built-in capabilities (10)
Define a new customized AutoGen agent
Send a user message to initiate or continue an AutoGen session
Create a new blank AutoGen session
Permanently delete an AutoGen session
List all configured AutoGen agents available
Retrieve the message history for a specific AutoGen session
List Large Language Models configured for use in AutoGen
List AutoGen Studio conversation sessions
List Python skill functions available to AutoGen agents
List all predefined AutoGen multi-agent workflows
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 10 tools from AutoGen through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AutoGen, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
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
AutoGen in OpenAI Agents SDK
Why run AutoGen with Vinkius?
The AutoGen connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect AutoGen using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
AutoGen and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect AutoGen to OpenAI Agents SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
AutoGen for OpenAI Agents SDK
Every request between OpenAI Agents SDK and AutoGen is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my AI agent debug a looping multi-agent conversation?
Yes. You can instruct your primary agent to retrieve the message traces for a specific AutoGen session ID. It will instantly unpack the internal LLM-to-LLM conversation, highlighting exactly which secondary agent is looping, throwing errors, or deviating from the constraints without manual log parsing.
How do I add a new Python capability or skill dynamicly?
Your agent can list currently mapped Python skills bound to the studio runtime. If you need a new capability, your primary AI can iterate on the script directly on your CLI/editor and once deployed in your studio, you can map it natively to customized agents via the creation parameters.
Can it trigger a Workflow to start executing a new complex task?
Absolutely. Ask your agent to create a fresh, blank, and completely isolated session, then dispatch a newly constructed 'human message' targeting an existing Multi-Agent workflow topology. It initiates the whole automated logic sequence securely and remotely.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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