How do I find my ZEGO AppID and ServerSecret?

Log in to the [ZEGO Admin Console](https://console.zego.im/), create or select a project, and you will find your AppID and ServerSecret in the project configuration or basic information section.

What is the SignatureNonce used for?

The SignatureNonce is a random string used to prevent replay attacks. This server automatically generates a fresh nonce for every request to ensure high security for your RTC management.

Can I kick a user from a specific room?

Yes! Use the `kick_room_user` tool with the target RoomId and UserId. You can also provide a custom message that the user will see when they are disconnected.

ZEGO / 即构科技 MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: ZEGO / 即构科技
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ZEGO / 即构科技 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "zego": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using ZEGO / 即构科技, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with ZEGO / 即构科技 through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the ZEGO / 即构科技 MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from ZEGO / 即构科技 via MCP

Why Use LangChain with the ZEGO / 即构科技 MCP Server

LangChain provides unique advantages when paired with ZEGO / 即构科技 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine ZEGO / 即构科技 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across ZEGO / 即构科技 queries for multi-turn workflows

ZEGO / 即构科技 + LangChain Use Cases

Practical scenarios where LangChain combined with the ZEGO / 即构科技 MCP Server delivers measurable value.

RAG with live data: combine ZEGO / 即构科技 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query ZEGO / 即构科技, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain ZEGO / 即构科技 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every ZEGO / 即构科技 tool call, measure latency, and optimize your agent's performance

ZEGO / 即构科技 MCP Tools for LangChain (8)

These 8 tools become available when you connect ZEGO / 即构科技 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting ZEGO / 即构科技 to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ZEGO / 即构科技 + LangChain FAQ

Common questions about integrating ZEGO / 即构科技 MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.