Rocket.Chat MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Rocket.Chat through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"rocketchat": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Rocket.Chat Agent",
instructions:
"You help users interact with Rocket.Chat " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Rocket.Chat?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Rocket.Chat tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 usingget_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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Rocket.Chat MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Rocket.Chat via MCP
Why Use Mastra AI with the Rocket.Chat MCP Server
Mastra AI provides unique advantages when paired with Rocket.Chat through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Rocket.Chat without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Rocket.Chat tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Rocket.Chat + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Rocket.Chat MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Rocket.Chat, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Rocket.Chat as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Rocket.Chat on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Rocket.Chat tools alongside other MCP servers
Rocket.Chat MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Rocket.Chat to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Rocket.Chat to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpRocket.Chat + Mastra AI FAQ
Common questions about integrating Rocket.Chat MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Rocket.Chat with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Rocket.Chat to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.