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 LlamaIndex 10 tools — connect in under 2 minutes

Name: Easemob / 环信
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Easemob / 环信 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Easemob / 环信. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Easemob / 环信?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Easemob / 环信 tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the Easemob / 环信 MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Easemob / 环信

Why Use LlamaIndex with the Easemob / 环信 MCP Server

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

Data-first architecture: LlamaIndex agents combine Easemob / 环信 tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Easemob / 环信 tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Easemob / 环信, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Easemob / 环信 tools were called, what data was returned, and how it influenced the final answer

Easemob / 环信 + LlamaIndex Use Cases

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

Hybrid search: combine Easemob / 环信 real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Easemob / 环信 to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Easemob / 环信 for fresh data

Analytical workflows: chain Easemob / 环信 queries with LlamaIndex's data connectors to build multi-source analytical reports

Easemob / 环信 MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Easemob / 环信 to LlamaIndex 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 LlamaIndex

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Easemob / 环信 + LlamaIndex FAQ

Common questions about integrating Easemob / 环信 MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Easemob / 环信 tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.