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

Manage real-time communication data for Claude Desktop.

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Works with every AI agent you already use

…and any MCP-compatible client

ZEGO / 即构科技 MCP on Cursor AI Code Editor MCP Client ZEGO / 即构科技 MCP on Claude Desktop App MCP Integration ZEGO / 即构科技 MCP on OpenAI Agents SDK MCP Compatible ZEGO / 即构科技 MCP on Visual Studio Code MCP Extension Client ZEGO / 即构科技 MCP on GitHub Copilot AI Agent MCP Integration ZEGO / 即构科技 MCP on Google Gemini AI MCP Integration ZEGO / 即构科技 MCP on Lovable AI Development MCP Client ZEGO / 即构科技 MCP on Mistral AI Agents MCP Compatible ZEGO / 即构科技 MCP on Amazon AWS Bedrock MCP Support
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Claude Desktop

Connect ZEGO / 即构科技 MCP to Claude Desktop

Create your Vinkius account to connect ZEGO / 即构科技 to Claude Desktop 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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Check user status and room membership via MCP Server.

You use the `check_user_status` tool to get individual user statuses, or call `get_room_users` to list everyone in a specific chat. This gives your AI client immediate context about who's available. Whether you are running this locally through stdio transport or accessing it via a remote HTTPS URL in the web app, your agent gets real-time user data before writing any code.

Monitor room activity and streams with Claude Desktop.

Need to know what's happening live? The `list_rooms` tool gives you all active chat rooms right away. You can then pinpoint exactly which streams are running in a specific space using `get_room_streams`. This helps your AI client understand the scope of media activity—it knows if there are active video feeds or just text chatter.

Control chat rooms and user presence.

The MCP Server lets you actively manage users. If a user misbehaves, calling `kick_room_user` removes them instantly. You can also force stop media streams when they're done with `stop_media_stream`. It's simple control: listing the total active count via `get_online_count` gives you an immediate metric of platform health.

Setup guide

Set up ZEGO / 即构科技 MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The ZEGO / 即构科技 MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

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

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 Claude Desktop

You have two options. For local testing, add the server to your `claude_desktop_config.json` file and restart the app. If you're on a remote machine, just plug the HTTPS URL into Settings → Integrations.
Yep. The server works great in both environments. The native Desktop app gives you local file access, while the Web version lets you connect a remote URL from any browser.
It provides real-time operational metrics. Specifically, it exposes user presence information (status and count), room listings, and media stream activity for the MCP Server.
Absolutely. This MCP Server handles core RTC functionality—listing rooms, managing users, and controlling streams. You'll get all that data fed to your AI client.
The server manages user status (online/offline), room membership lists, and media stream activity metadata. You'll be dealing with operational presence data.

Start using the ZEGO / 即构科技 MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for ZEGO / 即构科技. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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