How to Use the AutoGen MCP in LangChain

Chain together AutoGen workflows using LangChain to build multi-step reasoning pipelines that execute in sequence.

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Connect AutoGen MCP to LangChain

Create your Vinkius account to connect AutoGen to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AutoGen with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence complex AutoGen agent tasks

Pipe outputs from your MCP server directly into your LangChain chains. You define the logic that triggers `create_message` based on previous results. Your agent builds a chain where one tool execution feeds the next. Use LangSmith to watch how your LangChain pipeline handles input data.

Manage stateful sessions with LangChain

Track your conversation history by passing session IDs through your LangChain flow. This MCP server keeps your context alive across multiple calls. Call `list_sessions` to see what is running. The server maintains the state so your chain doesn't lose track of the ongoing discussion.

Inspect AutoGen workflows via LangChain

Run `list_workflows` to pull all available agent configurations into your LangChain agent. You get raw access to the underlying logic. Check `list_agents` to see which roles are ready for duty. Your code decides how to route tasks between these specific agent definitions.

Setup guide

Set up AutoGen MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes AutoGen tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "autogen-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent AutoGen transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Microsoft AutoGen. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AutoGen MCP in LangChain

You initialize the connection using the MultiServerMCPClient and pass the tools to your agent. This lets your LangChain code trigger `create_session` to start the work.

Yes, you pipe the tool output into your tracing layer. Since LangChain handles the inputs and outputs, you see exactly what each agent says during the conversation.

It does, by using the session ID from the server as a key for your memory store. You map the history from `list_messages` into your chain's state.

The server keeps your session logs and message history in a private, ephemeral sandbox. No data leaves your infrastructure unless you explicitly route it through your chain.

Your conversation logs and agent definitions reside only in the Vinkius-managed sandbox. We don't touch your session data or the content of your agent debates.

Use it with your favorite AI tools

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