How to Use the Volcengine RTC MCP in Vercel AI SDK

Q: Can I use Volcengine RTC with Vercel AI SDK for user actions?

Absolutely. You can write logic that uses tools like kickuser to remove a participant from a room. The result streams back, letting your UI handle the immediate update.

Stream live Volcengine RTC metrics and actions into your Next.js/React UI with Vercel AI SDK.

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Connect Volcengine RTC MCP to Vercel AI SDK

Create your Vinkius account to connect Volcengine RTC 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 Volcengine RTC with Vercel AI SDK

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Real-Time Room Management

See the current state of any meeting space immediately. Your agent calls `get_active_rooms` to list all running rooms, then `get_room_users` to pull the roster for a specific call. This data streams directly into your front end. Users see who joined and left without having to refresh the page.

Controlling Media Streams

You can manage audio or video feeds on demand from within your application logic. Use `mute_stream` if a participant needs a break, or call `unmute_stream` when they're ready to jump back in. This tool is great for building interactive dashboards that need live control over the conversation flow.

Recording and Transcoding Control

Handle media capture entirely through your client code. Call `start_cloud_record` to begin recording, or use `stop_cloud_record` when you're done capturing minutes. Need to format the stream? Start transcoding with `start_transcode`. Remember to clean up afterward by running `stop_transcode`.

Setup guide

Set up Volcengine RTC 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 Volcengine RTC 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 Volcengine RTC 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 Volcengine RTC. 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 Volcengine RTC MCP in Vercel AI SDK

The MCP tool results stream directly into your UI. Your agent calls the necessary functions, and you see the data appear in real-time, bypassing typical loading spinners.

Absolutely. You can write logic that uses tools like `kick_user` to remove a participant from a room. The result streams back, letting your UI handle the immediate update.

It exposes real-time communication metrics, including user lists (`get_room_users`), room status, and stream metadata. This helps your client build accurate, live dashboards.

Yes. You can chain actions—for instance, getting active rooms, then checking users in a specific room, and finally initiating cloud recording all within one user interaction.

This server touches real-time communication metadata. Specifically, it handles identifiers related to active RTC rooms, streaming users, and stream types (audio/video).

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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