RongCloud MCP. Manage user status and chatrooms in China's top IM platform.
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…and any MCP-compatible client
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RongCloud connects your AI client to China's leading IM and RTC platform. You manage everything: user tokens, private messages, group chatrooms, presence status, and moderation actions—all through natural language commands.
Forget navigating developer consoles; your agent handles the full communication lifecycle.
What your AI agents can do
Block user
Immediately prevents a specified user from sending any messages on the platform.
Check online
Returns the current online status of a specific user.
Create chatroom
Sets up and creates a new chatroom space within the system.
Check if a specific user is currently online using the check_online tool.
Deliver private messages or broadcast content to an entire chatroom using dedicated send tools.
Create new group chatrooms with create_chatroom or fetch existing room details via query_chatroom.
Block individual users using block_user, or review global policy violations by listing blacklists and blocked accounts.
Retrieve the necessary IM connection token for any user account with get_token.
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RongCloud MCP Server: 10 Tools for Communication Control
Use these tools to programmatically manage everything from user presence checks to sending targeted private and group messages.
019d847ablock user
Immediately prevents a specified user from sending any messages on the platform.
019d847acheck online
Returns the current online status of a specific user.
019d847acreate chatroom
Sets up and creates a new chatroom space within the system.
019d847aget token
Retrieves the unique, active connection token for a given user IM account.
019d847alist blacklist
Returns a list of users who are globally banned from the service.
019d847alist blocked users
Provides a list of users that have been individually blocked by an administrator.
019d847aquery chatroom
Gets detailed metadata and history for an existing chatroom space.
019d847arefresh user
Updates the stored profile information and details for a specific user account.
019d847asend chatroom msg
Sends a message to every participant in a specified chatroom.
019d847asend private msg
Transmits a direct, one-to-one message between two specific users.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with RongCloud, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Listen up. You don't need to mess around in some developer console just to manage chatrooms or send a quick message. This MCP Server gives your agent direct control over RongCloud, letting you handle the whole communication lifecycle using plain language commands. Forget the boilerplate; your AI client manages it all.
Getting Connected and Checking Users
You gotta get connected first. To start up, your agent uses get_token to grab the unique, active connection token for any user IM account. If you need updated data on a person's profile—like name changes or new details—you call refresh_user. Then, if you wanna know if that person is actually online and available right now, you run check_online, which returns their current presence status.
Sending Messages to People and Groups
Want to talk? You've got two ways to send a message. For private stuff, when you need to deliver a direct chat between exactly two users, your agent uses send_private_msg. If you gotta broadcast something—maybe an announcement or group news—to everyone in a specific room, you use send_chatroom_msg to hit all participants at once.
Building and Managing Chat Spaces
If the conversation needs a dedicated spot, your agent creates it with create_chatroom, setting up a brand new chatroom space. If that room already exists and you need to see what's going on—like getting detailed metadata or checking message history—you run query_chatroom against its name. This ensures everything about the group structure is visible.
Moderation and Keeping Order
You gotta enforce rules, right? Your agent can immediately prevent a specific user from posting anything by invoking block_user. For keeping tabs on policy violations, you pull two lists: list_blocked_users shows who an administrator has blocked individually, while list_blacklist returns the list of users globally banned from the service. This gives your system total control over who's talking and where they can talk.
How RongCloud MCP Works
- 1 Subscribe to this server and enter your RongCloud App Key and App Secret.
- 2 Your AI client uses natural language to invoke the required tools (e.g., 'Check if user X is online').
- 3 The MCP Server executes the tool, retrieves the necessary data (status, token, or success confirmation), and passes it back to your agent.
The bottom line is: you talk to your AI client, and the server handles all the platform-specific API calls needed to make it happen.
Who Is RongCloud MCP For?
Product Managers who need visibility into user activity; Community Moderators responsible for enforcing rules across large groups; and DevOps Engineers who must audit communication system health. If your job involves coordinating messages or managing user access in a live chat environment, you'll use this.
They check for rule violations using list_blacklist and enforce immediate action by calling block_user.
They monitor system health, auditing connection histories and chatroom activity using query_chatroom and related status tools.
They coordinate feature rollouts by checking if required users are active or ready to receive beta features using check_online.
What Changes When You Connect
- Real-time visibility into communication flow. You can use
check_onlineto instantly see if a target user is active, eliminating guesswork before sending time-sensitive messages. - Complete moderation control. If you spot rule violations, you don't need multiple steps; run
list_blacklist, then callblock_userto immediately enforce policy. - Message delivery guaranteed. You can send private communications using
send_private_msgor broadcast updates instantly across large groups withsend_chatroom_msg. - Group management is instant. Use
create_chatroomwhen a new project needs a dedicated space, and then usequery_chatroomto verify its setup details right away. - No more credential headaches. Getting the connection token is simple: just ask for it using
get_token, which feeds your agent everything it needs to operate.
Real-World Use Cases
Onboarding a New Team
A Product Manager wants to test a new feature rollout. Instead of manually checking dozens of user profiles, they ask their agent: 'List all users in the Alpha group and check if they are online.' The agent calls query_chatroom and then runs check_online on each member, giving an immediate status report.
Crisis Moderation
A Community Moderator notices a user repeatedly posting spam. They ask the agent to investigate. The agent first uses list_blocked_users for context, then calls block_user on the offending account to stop the spread of content immediately.
Debugging Message Failure
A DevOps Engineer sees an error about a user not responding. They ask the agent: 'What is Mario's connection token?' The agent runs get_token and provides the necessary credential, allowing the engineer to manually verify or re-attempt delivery.
Coordinating a Group Event
A team needs a dedicated space for planning. They ask the agent: 'Create a chatroom for Project Phoenix.' The agent calls create_chatroom and gets confirmation, allowing the team to immediately start coordinating using send_chatroom_msg.
The Tradeoffs
Assuming connection tokens exist.
Trying to send a message directly by just naming the user: 'Send a message to John.' The agent fails because it doesn't have the necessary token and cannot proceed with send_private_msg or send_chatroom_msg.
→
Always verify connection credentials first. Use get_token for the target user, then pass that token back to your agent so it can successfully execute the message sending tool.
Treating the system as linear.
Attempting to manage a complex situation by running multiple tools sequentially without context: 'List blacklists. Then create chatroom A. Now block user B.' The agent might miss dependencies or run conflicting commands.
→
Break down tasks logically. First, gather data (list_blacklist). Second, decide the action based on that data (e.g., if a match is found), and then execute moderation tools like block_user.
Confusing user status with group details.
Asking 'Who are the members of Room X?' The tool only provides metadata, not a live member list. It will fail to provide real-time presence data needed for chat management.
→
Use query_chatroom to get room details and history. For current status checks on specific users, you must use the dedicated check_online tool.
When It Fits, When It Doesn't
You should use this server if your primary need is deep control over real-time communication state (presence, message delivery, moderation) within a major Chinese IM ecosystem. This is mandatory for building robust chat apps or internal comms tools that require strict user lifecycle management.
Don't use it if you just need simple analytics (e.g., 'How many unique users logged in today?'). For pure reporting, look at dedicated logging/analytics platforms instead of a messaging API. Also, don't use this to simply log conversation history; while query_chatroom gives details, advanced long-term storage requires an external database service.
Use it when the process itself—checking status, creating the room, sending the message, and enforcing moderation—must happen in a single conversational flow.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by RongCloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Getting simple user status shouldn't require three separate dashboard clicks.
Today, checking if a colleague is available usually means juggling multiple internal tools: logging into the directory to check their last online time, then opening the chat app to see their green dot status, and finally consulting an operational dashboard for current project assignment. It's slow and brittle.
With this MCP server, you just ask your agent: 'Is Jane available?' The agent calls `check_online` and returns a definitive answer immediately. You get real-time presence data without leaving your AI workspace.
RongCloud MCP Server: Control Moderation with the API
Manual moderation involves finding user IDs, checking if they are on a watchlist, and then manually navigating to their profile settings page to toggle the ban switch. This process is slow, prone to human error, and terrible under pressure.
Now, you ask your agent: 'Block this user.' The agent executes `block_user`, handles all necessary API calls internally, and confirms the action instantly. It's clean, fast, and auditable.
Common Questions About RongCloud MCP
How do I check if a user is online using RongCloud MCP Server? +
You run check_online with the target user's ID. The agent returns their current status (Online, Offline, etc.) in real time.
What is the difference between list_blocked_users and list_blacklist? +
list_blocked_users shows accounts banned by an admin or specific group. list_blacklist provides a broader view of users who are globally prohibited from using the service.
Can I send messages to multiple people at once? +
Yes, you can create a room with create_chatroom and then use send_chatroom_msg to broadcast content to all members simultaneously.
Do I need the token before sending any message? +
Absolutely. You must first call get_token for the user(s) involved. The agent requires this connection credential to execute both send_private_msg and send_chatroom_msg.
What specific metadata can I retrieve about a group using `query_chatroom`? +
It returns the chatroom's ID, name, and participant list. This data lets your agent confirm who is in the room before attempting to send messages.
If user details change, how do I update them using `refresh_user`? +
Running refresh_user fetches the current profile metadata for a specific account. This ensures your AI client works with the latest information available from RongCloud.
When should I use `block_user` instead of just relying on blacklists? +
block_user immediately prevents all messaging to that specific user ID. It's useful when you need real-time, enforced moderation against a troublesome account.
What parameters do I need to run `create_chatroom`? +
You must provide the desired chatroom name and an initial list of user IDs. This establishes the group structure that your agent can then reference for messaging.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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