Rocket.Chat MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Rocket.Chat through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Rocket.Chat, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Rocket.Chat tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Rocket.Chat MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Rocket.Chat and passes them to the LLM
Why Use Vercel AI SDK with the Rocket.Chat MCP Server
Vercel AI SDK provides unique advantages when paired with Rocket.Chat through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Rocket.Chat integration everywhere
Built-in streaming UI primitives let you display Rocket.Chat tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Rocket.Chat + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Rocket.Chat MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Rocket.Chat in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Rocket.Chat tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Rocket.Chat capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Rocket.Chat through natural language queries
Rocket.Chat MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Rocket.Chat to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Rocket.Chat to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRocket.Chat + Vercel AI SDK FAQ
Common questions about integrating Rocket.Chat MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.