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Connect Autogen to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run complex, specialized AI swarms from a single chat interface.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Microsoft AutoGen.

  1. 01

    Create message

    Send a user message to initiate or continue an AutoGen session

  2. 02

    Create session

    Create a new blank AutoGen session

  3. 03

    Delete session

    Permanently delete an AutoGen session

  4. 04

    List messages

    Retrieve the message history for a specific AutoGen session

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Microsoft AutoGen.

  1. 05

    List sessions

    List AutoGen Studio conversation sessions

  2. 06

    List skills

    List Python skill functions available to AutoGen agents

  3. 07

    List workflows

    List all predefined AutoGen multi-agent workflows

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Microsoft AutoGen.

  1. 08

    List agents

    List all configured AutoGen agents available

  2. 09

    Create agent

    Define a new customized AutoGen agent

  3. 10

    List models

    List Large Language Models configured for use in AutoGen

Real work

What teams actually run

01

Code Review Cycle

Run a multi-agent group where a User Proxy submits code, a Coder builds a solution, and a Critic reviews it for security flaws and bugs. You get the full rejection trace immediately.

02

Market Research Analysis

Initiate a workflow that simulates market research, having specialized agents gather data, synthesize findings, and present a summary report.

03

System Debugging

When an automated process fails, you can analyze the message traces to pinpoint exactly which agent failed and why, saving hours of manual debugging.

04

Complex Task Automation

Use the MCP to build and test automated backend operations, verifying that multiple specialized agents can work together to complete a goal.

Automate a task

Put Microsoft AutoGen to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Microsoft AutoGen works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Microsoft AutoGen to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

803ms average. Fast in production.

Microsoft AutoGen is checked daily against the live service.

Daily averagePeak 934ms
Oct 3Today
Fastest day
626ms
Slowest day
934ms
14-day trend
Stable+1%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Microsoft AutoGen, so you can see the experience inside your AI.

It does not authenticate your account with Microsoft AutoGen. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Microsoft AutoGen Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_im6ZUleGV5zCo8b51ydydKQxlYTOsNTFUZKM0ez4/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Microsoft AutoGen capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "autogen-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_im6ZUleGV5zCo8b51ydydKQxlYTOsNTFUZKM0ez4/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Microsoft AutoGen in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Microsoft AutoGen owners hand off.

This MCP is built for technical users who need to manage complex, multi-step AI processes. If your job involves coordinating specialized AI roles or debugging automated backend systems, this connector gives you the control you need. It moves agent orchestration from a separate UI into your natural chat flow.

  • 01

    AI Engineers

    Audit running agent topologies, trace deep execution logs, and iterate on Python skills without leaving your context.

  • 02

    Product Managers

    Verify the health and step-by-step execution of automated backend swarm operations for product validation.

  • 03

    Researchers

    Easily extract deep LLM-to-LLM conversational histories across experimental boundaries for grading and analysis.

FAQ

Questions Microsoft AutoGen owners ask.

  • 01

    What is the difference between a 'session' and a 'workflow'?

    A session is the isolated memory space where the conversation happens. A workflow is the predefined topology or graph that dictates how the agents interact within that session. You create a session first, then run a workflow inside it.

  • 02

    Can I debug the agents' conversations?

    Yes. You can use the message history capabilities to retrieve deep agent-to-agent conversation traces. This lets you see exactly which agent said what and why, which is critical for debugging.

  • 03

    Do I need to write code to use this MCP?

    No. You interact with this MCP using natural conversation prompts through your AI client. The underlying complexity, like defining agents or listing skills, is handled by the capabilities you invoke.

  • 04

    What if I want to change an agent's role?

    You can redefine agents using the create_agent capability. This lets you change their parameters, giving them new roles or specialized instructions mid-project.

  • 05

    Does this MCP support multiple types of agents?

    Yes. You can define and manage multiple, specialized agents, such as a User Proxy, a Coder, and a Critic, allowing them to collaborate on a single task.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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