How to Use the AutoGen MCP in Vercel AI SDK

Q: How do I connect the AutoGen MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and set up the HTTP transport with your Vinkius endpoint. You call createMCPClient and pass the tools directly to streamText to let your frontend drive the AutoGen session.

Q: How does Vercel AI SDK handle AutoGen session cleanup?

You trigger deletesession through the SDK client tools when a user closes their browser tab or resets the chat. This keeps your database clean and prevents orphaned runs.

Q: Can I list available AutoGen agents in a Vercel AI SDK dropdown?

Definitely. Call listagents through the tool calling interface and map the returned array directly to a React select component. Your users can swap agents mid-conversation.

Spin up AutoGen sessions and stream agent logs live to your users with Vercel AI SDK.

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Connect AutoGen MCP to Vercel AI SDK

Create your Vinkius account to connect AutoGen to Vercel AI SDK 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 Vercel AI SDK

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Real-time UI updates with Vercel AI SDK

Your users shouldn't stare at loading spinners while agents coordinate. Fire up `create_session` and watch Vercel AI SDK stream the agent handoffs directly onto the screen. This MCP Server exposes the raw agent logs so you can show the exact reasoning path as it happens. By feeding `list_messages` directly into your UI components, you build interfaces that feel alive. The SDK updates the DOM node by node while AutoGen works in the background.

Dynamic agent provisioning on the edge

Spin up custom agents on demand without redeploying your frontend. Use `create_agent` inside your Next.js edge routes to configure a new specialist right when your user requests a specific task. You can query `list_models` to match the agent to the cheapest or fastest LLM available. This keeps your edge function execution times low and your API costs under control.

Live skill inspection and execution

Let your users see exactly what Python skills your agents have access to. Pull the active list with `list_skills` and render them as interactive badges in your Vercel AI SDK dashboard. When a workflow triggers, you don't guess what code ran. You grab the history using `list_workflows` and render the execution sequence live in the chat feed.

Setup guide

Set up AutoGen MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all AutoGen tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent AutoGen transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AutoGen MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the HTTP transport with your Vinkius endpoint. You call `createMCPClient` and pass the tools directly to `streamText` to let your frontend drive the AutoGen session.

Yes. Because Vinkius hosts the MCP client wrapper, your edge functions stay lightweight. You just call `list_workflows` or `create_message` without loading heavy Python runtimes on Vercel.

You trigger `delete_session` through the SDK client tools when a user closes their browser tab or resets the chat. This keeps your database clean and prevents orphaned runs.

Definitely. Call `list_agents` through the tool calling interface and map the returned array directly to a React select component. Your users can swap agents mid-conversation.

Vinkius isolates every request in a secure sandbox. Your session logs and messages never leak, as all communication goes through a single-use token that you control.

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