How do I find my Easemob Client ID and Secret?

Log in to the [Easemob Console](https://console.easemob.com/), select your application, and you will find your Org Name, App Name, Client ID, and Client Secret in the application details overview.

Does this server handle token rotation?

Yes! The server automatically requests and caches an OAuth2 access token using your credentials, handling expiration and renewal internally for all operations.

Can I send messages to multiple users at once?

Yes. In the `send_text_message` tool, you can provide a comma-separated list of usernames in the `to` parameter to reach multiple recipients simultaneously.

Easemob / 环信 MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Easemob / 环信
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Easemob / 环信 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({
        "easemob": {
            "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 Easemob / 环信, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Easemob / 环信 MCP Server

Empower your AI agent to orchestrate your real-time communication infrastructure with Easemob (环信), the leading provider of instant messaging services in China. By connecting Easemob to your agent, you transform complex IM user registration, group management, and cross-user messaging into a natural conversation. Your agent can instantly register new users, audit group memberships, send direct text messages, and browse chat histories without you ever needing to navigate a technical dashboard. Whether you are building an automated support bot or coordinating enterprise-wide chat groups, your agent acts as a real-time communication assistant, providing reliable results from a single, unified source.

LangChain's ecosystem of 500+ components combines seamlessly with Easemob / 环信 through native MCP adapters. Connect 10 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

User Orchestration — Register, retrieve, list, and delete IM users with full support for nicknames and metadata.
Messaging Control — Send direct text messages between users or broadcast to groups with a simple natural language command.
Group Management — Create chat groups, manage owners, and add members to ensure seamless collaboration.
History Auditing — Access and browse historical chat messages for monitoring and analysis purposes.
System Management — List all active users and groups to maintain operational oversight of your IM ecosystem.

The Easemob / 环信 MCP Server exposes 10 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 Easemob / 环信 to LangChain via MCP

Follow these steps to integrate the Easemob / 环信 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 10 tools from Easemob / 环信 via MCP

Why Use LangChain with the Easemob / 环信 MCP Server

LangChain provides unique advantages when paired with Easemob / 环信 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Easemob / 环信 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 Easemob / 环信 queries for multi-turn workflows

Easemob / 环信 + LangChain Use Cases

Practical scenarios where LangChain combined with the Easemob / 环信 MCP Server delivers measurable value.

RAG with live data: combine Easemob / 环信 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Easemob / 环信, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Easemob / 环信 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Easemob / 环信 tool call, measure latency, and optimize your agent's performance

Easemob / 环信 MCP Tools for LangChain (10)

These 10 tools become available when you connect Easemob / 环信 to LangChain via MCP:

add_group_member

Add group member

create_group

Create chat group

delete_user

Delete IM user

get_chat_history

Get chat history

get_group

Get group details

get_user

Get user details

list_groups

List chat groups

list_users

List IM users

register_user

send_text_message

Send text message

Example Prompts for Easemob / 环信 in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Easemob / 环信 immediately.

"Register a new user 'test_user_01' with password 'pass123'."

"Send a message from 'admin' to 'user_01' saying 'Hello, welcome to the group!'."

"Create a new group called 'Project Alpha' with 'admin' as owner."

Troubleshooting Easemob / 环信 MCP Server with LangChain

Common issues when connecting Easemob / 环信 to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Easemob / 环信 + LangChain FAQ

Common questions about integrating Easemob / 环信 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.