ZEGO / 即构科技 MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ZEGO / 即构科技 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"zego": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ZEGO / 即构科技 Agent",
instructions:
"You help users interact with ZEGO / 即构科技 " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ZEGO / 即构科技?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and ZEGO / 即构科技 tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the ZEGO / 即构科技 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from ZEGO / 即构科技 via MCP
Why Use Mastra AI with the ZEGO / 即构科技 MCP Server
Mastra AI provides unique advantages when paired with ZEGO / 即构科技 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ZEGO / 即构科技 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ZEGO / 即构科技 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
ZEGO / 即构科技 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ZEGO / 即构科技 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ZEGO / 即构科技, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ZEGO / 即构科技 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ZEGO / 即构科技 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ZEGO / 即构科技 tools alongside other MCP servers
ZEGO / 即构科技 MCP Tools for Mastra AI (8)
These 8 tools become available when you connect ZEGO / 即构科技 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting ZEGO / 即构科技 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZEGO / 即构科技 + Mastra AI FAQ
Common questions about integrating ZEGO / 即构科技 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.