ZEGO / 即构科技 MCP Server for VS Code Copilot 8 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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{
"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.
GitHub Copilot Agent mode brings ZEGO / 即构科技 data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the ZEGO / 即构科技 MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using ZEGO / 即构科技
Ask Copilot: "Using ZEGO / 即构科技, help me...". 8 tools available
Why Use VS Code Copilot with the ZEGO / 即构科技 MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with ZEGO / 即构科技 through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
ZEGO / 即构科技 + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the ZEGO / 即构科技 MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
ZEGO / 即构科技 MCP Tools for VS Code Copilot (8)
These 8 tools become available when you connect ZEGO / 即构科技 to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting ZEGO / 即构科技 to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
ZEGO / 即构科技 + VS Code Copilot FAQ
Common questions about integrating ZEGO / 即构科技 MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.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 VS Code Copilot
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
