Chuanyun 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 Chuanyun 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 Chuanyun, 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 Chuanyun MCP Server
Empower your AI agent to orchestrate your enterprise digital infrastructure with Chuanyun (H3Yun), the leading low-code engine for rapid business digitalization. By connecting Chuanyun to your agent, you transform complex business object management and workflow auditing into a natural conversation. Your agent can instantly list your forms, retrieve field schemas, manage business records (create, update, delete), and even browse historical workflow approval steps without you ever needing to navigate the technical Chuanyun portal. Whether you are managing complex supply chain objects, customized ERP modules, or internal administrative tasks, your agent acts as a real-time digital engine, keeping your data accurate and your business logic optimized.
The Vercel AI SDK gives every Chuanyun 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
- Form Orchestration — List all accessible application schemas and retrieve detailed field definitions.
- Business Object Control — Manage business records (objects) with full support for batch listing, creation, and granular updates.
- Workflow Auditing — Check the defined workflows and historical approval history for any business object instance.
- Schema Insights — Retrieve internal schema codes and structures to understand your enterprise data architecture.
- Team Coordination — Access organization user lists to manage assignments and participation effectively.
The Chuanyun 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 Chuanyun to Vercel AI SDK via MCP
Follow these steps to integrate the Chuanyun 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 Chuanyun and passes them to the LLM
Why Use Vercel AI SDK with the Chuanyun MCP Server
Vercel AI SDK provides unique advantages when paired with Chuanyun 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 Chuanyun integration everywhere
Built-in streaming UI primitives let you display Chuanyun 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
Chuanyun + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chuanyun MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chuanyun in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chuanyun tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chuanyun capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chuanyun through natural language queries
Chuanyun MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Chuanyun to Vercel AI SDK via MCP:
create_biz_object
Create a new business object
delete_biz_object
Delete a business object
get_biz_object_details
Get object detailed data
get_form_schema
Get form field schema
get_workflow_history
Get workflow instance history
list_biz_objects
List business objects (records)
list_forms
List all forms in the application
list_users
List application users
list_workflows
List form workflows
update_biz_object
Update an existing business object
Example Prompts for Chuanyun in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chuanyun immediately.
"List all business object forms available in my Chuanyun app."
"Show me the last 3 records from the 'Material Procurement' form (Code: D00123)."
"Retrieve the approval history for sales order 'OBJ-9920'."
Troubleshooting Chuanyun MCP Server with Vercel AI SDK
Common issues when connecting Chuanyun to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChuanyun + Vercel AI SDK FAQ
Common questions about integrating Chuanyun 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 Chuanyun 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 Chuanyun to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.