How to Use the Structured MCP in Vercel AI SDK
See Structured updates in real time with your AI client.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Structured MCP to Vercel AI SDK
Create your Vinkius account to connect Structured 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
Live Plan Retrieval
When you call `list_plans`, the results stream directly to your React component. Instead of waiting for a loading spinner, users see their available plans appear chunk by chunk as data arrives. Using `get_plan_details` lets your agent pull specific plan information instantly. This streaming capability is crucial when building user-facing products where seeing the data materialize matters.
Real-Time Task Modification with ai-sdk
`create_task` makes new tasks appear in the UI immediately after execution, perfect for live dashboards. You can show the user 'Task Added' right as the stream finishes. When running `update_task`, the changes hit the frontend instantly. This makes the entire experience feel snappy and responsive, which is exactly what you want when building with an MCP Server.
Managing User State
`get_user_profile` pulls the user's current details for your application state immediately. Your agent handles this data stream before any other action. If you need to delete something, `delete_task` confirms the removal in real time. This makes sure the UI state matches the backend state without requiring extra polling.
Set up Structured 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 Structured 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 Structured 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 Structured. 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
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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 Structured MCP in Vercel AI SDK
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