How to Use the ZEGO / 即构科技 MCP in Cursor

Q: How does ZEGO / 即构科技 work with Cursor?

You create a .cursor/mcp.json file and add the server details there. When Agent mode is enabled, your AI client knows how to call the tools and inject the results into the code you're writing.

Q: Can I use ZEGO / 即构科技 with Cursor for development?

You can. The MCP Server provides the necessary tools—like checkuserstatus and getroomusers—to build complex application logic in a fully typed environment.

Write code using live RTC data in Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ZEGO / 即构科技 MCP to Cursor

Create your Vinkius account to connect ZEGO / 即构科技 to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ZEGO / 即构科技 with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate functions that track user activity.

Need to build a function that checks if enough people are online? The `get_online_count` tool feeds the current number directly into your code. You can also write logic around listing users using `get_room_users`. When the agent calls these tools, it doesn't use mock data; it injects a live JSON array or integer response right where you need it.

Code room management and user kitting.

If your goal is to automate moderation, write code that calls `kick_room_user` when certain criteria are met. You can also build a function that lists all available rooms using `list_rooms`. The AI generates the working API call, making sure you don't have to switch out of Cursor to test data.

Build media stream detection into your code.

To build a dashboard that shows active streams, use `get_room_streams` and `get_usage_stats`. The agent writes the surrounding boilerplate needed to process this data. This capability lets you write reliable backend logic based on real-time RTC metrics without writing any setup code yourself.

Setup guide

Set up ZEGO / 即构科技 MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the ZEGO / 即构科技 MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent ZEGO / 即构科技 transactions." If the MCP tools are loaded correctly, Cursor will call the ZEGO / 即构科技 tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "zego-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 ZEGO / 即构科技. 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.

Connect ZEGO / 即构科技 now

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 ZEGO / 即构科技 MCP in Cursor

You create a `.cursor/mcp.json` file and add the server details there. When Agent mode is enabled, your AI client knows how to call the tools and inject the results into the code you're writing.

Yes. This is its core feature: The MCP Server provides real API responses (like user lists or usage metrics) that are injected directly into the code you're composing.

It gives highly granular operational data: specific user statuses, counts of active users, and a list of media streams running in various rooms. It's all about real-time context.

You can. The MCP Server provides the necessary tools—like `check_user_status` and `get_room_users`—to build complex application logic in a fully typed environment.

The server touches user presence status, room metadata (list of rooms), and quantitative usage statistics. It's pure operational data for your code base.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript