Can the assistant create new channels or invite new users to the Rocket.Chat workspace?

No. This tool package is primarily focused on organic text-based communication, message manipulation (sending, modifying, deleting), and environment querying (listing what already exists). The generative capability to create workspace structural entities like 'new channels' or provisioning administrative user accounts is deactivated for baseline security in this module.

How does `chat_post_message` differ from `chat_send_message`?

`chat_send_message` uses a unique alphanumeric `Room ID` (e.g. 'cxyz123') to target an exact space unambiguously. Meanwhile, `chat_post_message` is designed to be human-readable, allowing your assistant to route messages to named destinations like '#general', '#dev-team', or directly to a user like '@johndoe'.

Can the AI edit or delete messages sent by other users?

Only if the authenticated account has the required admin or moderator permissions in the target channel. The AI inherits the same role-based restrictions as the user whose token is configured.

Rocket.Chat MCP Server for Cursor 10 tools — connect in under 2 minutes

Name: Rocket.Chat
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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RecommendedModern Approach — Zero Configuration

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Rocket.Chat and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "rocketchat": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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DLPData protection

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<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 Rocket.Chat MCP Server

Connect your conversational assistant directly to Rocket.Chat, the open-source team communication platform. This integration transforms your AI into an active participant capable of chatting, sending notifications to channels, identifying active users, and auditing chat room data organically within your workspace.

Cursor's Agent mode turns Rocket.Chat into an in-editor superpower. Ask Cursor to generate code using live data from Rocket.Chat and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Communicate Actively — Instruct your assistant to post messages into public channels or private direct messages (chat_post_message, chat_send_message). Need to fix a typo? The AI can seamlessly edit (chat_update_message) or delete previous messages (chat_delete_message).
Explore Channels & Groups — Give your assistant vision over public discussions (list_public_channels) or private channels you belong to (list_private_groups). You can then extract deep information about specific rooms using get_channel_info.
Audit Users in the Network — Scan the entire user directory (list_users) to locate team members and review their roles and connection status directly (get_user_info).

The Rocket.Chat MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor 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 Rocket.Chat to Cursor via MCP

Follow these steps to integrate the Rocket.Chat MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Rocket.Chat

Open Agent mode in chat and ask: "Using Rocket.Chat, help me...". 10 tools available

Why Use Cursor with the Rocket.Chat MCP Server

Cursor AI Code Editor provides unique advantages when paired with Rocket.Chat through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Rocket.Chat + Cursor Use Cases

Practical scenarios where Cursor combined with the Rocket.Chat MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Rocket.Chat MCP Tools for Cursor (10)

These 10 tools become available when you connect Rocket.Chat to Cursor via MCP:

chat_delete_message

You must provide both room ID and message ID. Deletes a message from a room

chat_post_message

Sends a message to a channel or user by name

chat_send_message

Sends a message to a specific room by ID

chat_update_message

Updates the text of an existing message

get_channel_info

Retrieves details for a specific channel

get_user_info

Retrieves detailed information for a specific user

list_direct_messages

Lists all active direct message rooms

list_private_groups

Lists all private groups (channels) the user is a member of

list_public_channels

Lists all public channels in the workspace

list_users

Lists all users in the workspace directory

Example Prompts for Rocket.Chat in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Rocket.Chat immediately.

"List all of my active direct messages."

"Send a welcome message to #general thanking the new members."

"Find and get the user info for the ID abCD123."

Troubleshooting Rocket.Chat MCP Server with Cursor

Common issues when connecting Rocket.Chat to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Rocket.Chat + Cursor FAQ

Common questions about integrating Rocket.Chat MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.