Chuangkit / 创客贴 MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Chuangkit / 创客贴 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 Chuangkit / 创客贴, 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 Chuangkit / 创客贴 MCP Server
Empower your AI agent to orchestrate your creative workflows with Chuangkit (创客贴), the premier graphic design platform in China. By connecting Chuangkit to your agent, you transform complex template searching, design auditing, and material management into a natural conversation. Your agent can instantly list design templates, retrieve detailed structure for your creations, search for specific visual assets, and even provide status updates for your application without you ever needing to navigate the comprehensive Chuangkit web interface. Whether you are conducting a brand consistency audit or monitoring creative production, your agent acts as a real-time creative assistant, keeping your visual data accurate and your production moving.
The Vercel AI SDK gives every Chuangkit / 创客贴 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Creative Orchestration — List and retrieve detailed information about your design templates and creative projects.
- Asset Management — Browse materials, fonts, and visual assets to identify resources for your next project.
- Design Tracking — List and retrieve detailed metadata for user-created designs to monitor production progress.
- Search & Discovery — Use natural language to search for specific templates and categories matching your keywords.
- Application Insights — Retrieve high-level information about your Chuangkit application status and metadata.
The Chuangkit / 创客贴 MCP Server exposes 8 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 Chuangkit / 创客贴 to Vercel AI SDK via MCP
Follow these steps to integrate the Chuangkit / 创客贴 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 8 tools from Chuangkit / 创客贴 and passes them to the LLM
Why Use Vercel AI SDK with the Chuangkit / 创客贴 MCP Server
Vercel AI SDK provides unique advantages when paired with Chuangkit / 创客贴 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 Chuangkit / 创客贴 integration everywhere
Built-in streaming UI primitives let you display Chuangkit / 创客贴 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
Chuangkit / 创客贴 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Chuangkit / 创客贴 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Chuangkit / 创客贴 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Chuangkit / 创客贴 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Chuangkit / 创客贴 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Chuangkit / 创客贴 through natural language queries
Chuangkit / 创客贴 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Chuangkit / 创客贴 to Vercel AI SDK via MCP:
get_asset_url
Get asset download URL
get_design_detail
Get user design detail
get_template
Get template details
list_categories
List template categories
list_materials
). List design materials
list_templates
List design templates
list_user_designs
List user designs
search_templates
Search templates by keyword
Example Prompts for Chuangkit / 创客贴 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Chuangkit / 创客贴 immediately.
"Search for 'Summer Sale' design templates in Chuangkit."
"Show me all my recent designs."
"List all available design categories."
Troubleshooting Chuangkit / 创客贴 MCP Server with Vercel AI SDK
Common issues when connecting Chuangkit / 创客贴 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChuangkit / 创客贴 + Vercel AI SDK FAQ
Common questions about integrating Chuangkit / 创客贴 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 Chuangkit / 创客贴 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 Chuangkit / 创客贴 to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.