ZEGO / 即构科技 MCP Server for Cursor 8 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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The modern way to manage MCP Servers — no config files, no terminal commands. Install ZEGO / 即构科技 and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"zego": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ZEGO / 即构科技 MCP Server
Empower your AI agent to orchestrate your real-time communication infrastructure with ZEGO (即构科技), the premier provider of global video and audio RTC services. By connecting ZEGO to your agent, you transform complex room management, stream control, and user status tracking into a natural conversation. Your agent can instantly retrieve active room lists, monitor user counts, force-stop media streams, and audit service usage statistics without you ever needing to navigate multiple technical dashboards. Whether you are building an automated moderation system for live rooms or monitoring cross-regional connectivity, your agent acts as a real-time RTC operations assistant, providing accurate and reliable results from a single, authorized source.
Cursor's Agent mode turns ZEGO / 即构科技 into an in-editor superpower. Ask Cursor to generate code using live data from ZEGO / 即构科技 and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Room Orchestration — List active rooms, retrieve detailed metadata, and monitor real-time user activity.
- User Management — Track user status (online/offline), list members in specific rooms, and manage access (kick users).
- Stream Control — Monitor active media streams and force-terminate unauthorized or problematic broadcasts.
- Usage Auditing — Retrieve comprehensive audio and video duration statistics for specific time ranges.
- Operational Insights — Monitor total online user counts and API connectivity status to ensure system-wide health.
The ZEGO / 即构科技 MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ZEGO / 即构科技 to Cursor via MCP
Follow these steps to integrate the ZEGO / 即构科技 MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using ZEGO / 即构科技
Open Agent mode in chat and ask: "Using ZEGO / 即构科技, help me...". 8 tools available
Why Use Cursor with the ZEGO / 即构科技 MCP Server
Cursor AI Code Editor provides unique advantages when paired with ZEGO / 即构科技 through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
ZEGO / 即构科技 + Cursor Use Cases
Practical scenarios where Cursor combined with the ZEGO / 即构科技 MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
ZEGO / 即构科技 MCP Tools for Cursor (8)
These 8 tools become available when you connect ZEGO / 即构科技 to Cursor via MCP:
check_user_status
Check status of multiple users
get_online_count
Get total online user count
get_room_streams
List active streams in a room
get_room_users
List users in a room
get_usage_stats
Get service usage statistics
kick_room_user
Kick user from room
list_rooms
List active rooms
stop_media_stream
Force stop a stream
Example Prompts for ZEGO / 即构科技 in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with ZEGO / 即构科技 immediately.
"List all active rooms in our ZEGO project."
"Check the status for these users: 'user_01,user_02'."
"What is our video usage duration for the last 7 days?"
Troubleshooting ZEGO / 即构科技 MCP Server with Cursor
Common issues when connecting ZEGO / 即构科技 to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
ZEGO / 即构科技 + Cursor FAQ
Common questions about integrating ZEGO / 即构科技 MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect ZEGO / 即构科技 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ZEGO / 即构科技 to Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
