How do I find my RongCloud App Key and Secret?

Log in to the RongCloud Developer Console, navigate to [Application Identification] or [Secret Management], and you will find your App Key and App Secret there. Note that Development and Production environments have separate keys.

Can I check if a user is currently online?

Yes. Use the `check_online` tool with a user ID to retrieve their current connection status to the IM server.

Is it possible to manage chatrooms through this server?

Yes! You can use the `create_chatroom` tool to initiate new rooms and `query_chatroom` to retrieve detailed information about existing ones.

RongCloud MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: RongCloud
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 RongCloud as an MCP tool provider through the 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 RongCloud. "
            "You have 10 tools available."
        ),
    )

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

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 RongCloud MCP Server

Empower your AI agent to orchestrate your communication infrastructure with RongCloud (融云), the dominant IM and RTC platform in China. By connecting RongCloud to your agent, you transform complex user management, real-time messaging, and chatroom control into a natural conversation. Your agent can instantly retrieve connection tokens for users, monitor online status, send private or chatroom messages, and manage user blocks or blacklists without you ever needing to navigate the RongCloud Developer Console. Whether you are building a high-volume social app or coordinating enterprise communication, your agent acts as a real-time messaging assistant, keeping your communication flow accurate and your user data secure.

LlamaIndex agents combine RongCloud tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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 — Retrieve IM tokens, refresh user profiles, and monitor real-time online status.
Messaging Control — Send 1-to-1 private messages or broadcast messages to entire chatrooms.
Room Management — Create and query chatrooms to coordinate group interactions.
Moderation & Security — Manage blocked users and blacklists to maintain a healthy communication environment.
System Auditing — Retrieve high-level information about your communication agents and active sessions.

The RongCloud 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 RongCloud to LlamaIndex via MCP

Follow these steps to integrate the RongCloud 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 RongCloud

Why Use LlamaIndex with the RongCloud MCP Server

LlamaIndex provides unique advantages when paired with RongCloud through the Model Context Protocol.

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

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

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

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

RongCloud + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the RongCloud MCP Server delivers measurable value.

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

Data enrichment: query RongCloud 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 RongCloud for fresh data

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

RongCloud MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect RongCloud to LlamaIndex via MCP:

block_user

Block user

check_online

Check user online status

create_chatroom

Create chatrooms

get_token

Get user IM token

list_blacklist

List user blacklist

list_blocked_users

List blocked users

query_chatroom

Get chatroom details

refresh_user

Update user information

send_chatroom_msg

Send chatroom message

send_private_msg

Send private message

Example Prompts for RongCloud in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with RongCloud immediately.

"Get an IM token for user 'mario-123'."

"Check if user 'renato-456' is currently online."

"Send a text message to chatroom 'room-8821' from user 'bot-01'."

Troubleshooting RongCloud MCP Server with LlamaIndex

Common issues when connecting RongCloud to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

RongCloud + LlamaIndex FAQ

Common questions about integrating RongCloud 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 RongCloud tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.