How to Use the QingFlow MCP in Vercel AI SDK
Feed live QingFlow application records directly into your Next.js frontend using Vercel AI SDK and the QingFlow MCP server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect QingFlow MCP to Vercel AI SDK
Create your Vinkius account to connect QingFlow to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Vercel AI SDK UI Rendering with App Schemas
The `get_app_schema` tool lets your Vercel AI SDK application pull structural definitions directly from QingFlow via the MCP server to build forms dynamically on the edge. Instead of hardcoding input fields for every business application, your Next.js app reads the field types in real-time. You pass the returned schema directly to UI components, allowing users to submit new entries without waiting for static site rebuilds. This setup uses `list_apps` to populate dropdown menus instantly, so your frontend stays in lockstep with back-office database changes.
Real-Time Record Streaming
Running `create_record` within a streaming Vercel AI SDK edge function pushes new entries to QingFlow while displaying a live progress log to the user. You don't have to show a generic loading spinner while the backend processes the BPM entry. If the operation requires multi-step approval, the SDK handles the wait state by polling `get_workflow_status` and piping those status updates straight into your React component. The user sees the exact step their submission is stuck on the moment it happens.
Instant Data Tables via Edge Functions
Your AI client uses `list_data` to fetch current QingFlow records and immediately streams them as a clean JSON array to your Svelte or Vue frontend. Vercel AI SDK handles the chunking, meaning large tables render row-by-row as they arrive from the BPM API. When a user edits a row, the application calls `update_record` to modify the entry on the fly. This avoids heavy page refreshes, keeping the user interface fast while keeping your core business data accurate.
Set up QingFlow MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all QingFlow tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent QingFlow transactions",
});
console.log(text);
await mcpClient.close();Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by QingFlow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about QingFlow MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the QingFlow MCP today
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