RongCloud 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 RongCloud through 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 RongCloud, 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 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.
The Vercel AI SDK gives every RongCloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through 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
- 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 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 RongCloud to Vercel AI SDK via MCP
Follow these steps to integrate the RongCloud 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 RongCloud and passes them to the LLM
Why Use Vercel AI SDK with the RongCloud MCP Server
Vercel AI SDK provides unique advantages when paired with RongCloud 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 RongCloud integration everywhere
Built-in streaming UI primitives let you display RongCloud 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
RongCloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the RongCloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query RongCloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate RongCloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed RongCloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with RongCloud through natural language queries
RongCloud MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect RongCloud to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting RongCloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRongCloud + Vercel AI SDK FAQ
Common questions about integrating RongCloud 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 RongCloud 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 RongCloud to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.