Zhumu / 瞩目 MCP Server for VS Code Copilot 10 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": {
"zhumu": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About Zhumu / 瞩目 MCP Server
Empower your AI agent to orchestrate your video collaboration with Zhumu (瞩目), the premier cloud meeting platform in China. By connecting Zhumu to your agent, you transform complex meeting scheduling, user auditing, and recording management into a natural conversation. Your agent can instantly list upcoming meetings, retrieve detailed participant information, monitor cloud recordings, and even schedule new sessions without you ever needing to navigate the comprehensive Zhumu portal. Whether you are conducting a cross-functional team sync or coordinating a large-scale webinar, your agent acts as a real-time collaboration assistant, keeping your schedule accurate and your meetings organized.
GitHub Copilot Agent mode brings Zhumu / 瞩目 data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Meeting Orchestration — List, retrieve, and schedule video meetings with full support for topics and timing.
- User Auditing — Browse and retrieve detailed user profiles across your organization.
- Recording Control — List and access cloud recordings for past sessions to ensure knowledge sharing.
- Webinar Monitoring — Monitor scheduled webinars and participant engagement levels.
- Usage Insights — Retrieve high-level account reports and activity summaries for your collaboration environment.
The Zhumu / 瞩目 MCP Server exposes 10 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 Zhumu / 瞩目 to VS Code Copilot via MCP
Follow these steps to integrate the Zhumu / 瞩目 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 Zhumu / 瞩目
Ask Copilot: "Using Zhumu / 瞩目, help me..." — 10 tools available
Why Use VS Code Copilot with the Zhumu / 瞩目 MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Zhumu / 瞩目 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
Zhumu / 瞩目 + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Zhumu / 瞩目 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
Zhumu / 瞩目 MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect Zhumu / 瞩目 to VS Code Copilot via MCP:
create_meeting
Create a new meeting
delete_meeting
Delete a meeting
get_account_report
Get usage reports
get_meeting
Get meeting details
get_user
Get user details
list_meetings
List upcoming meetings
list_recordings
List cloud recordings
list_users
List organization users
list_webinars
List scheduled webinars
update_meeting
Update meeting settings
Example Prompts for Zhumu / 瞩目 in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Zhumu / 瞩目 immediately.
"List all my upcoming meetings in Zhumu."
"Schedule a meeting titled 'Design Feedback' for today."
"Show me the last 5 cloud recordings."
Troubleshooting Zhumu / 瞩目 MCP Server with VS Code Copilot
Common issues when connecting Zhumu / 瞩目 to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Zhumu / 瞩目 + VS Code Copilot FAQ
Common questions about integrating Zhumu / 瞩目 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 Zhumu / 瞩目 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 Zhumu / 瞩目 to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.