How to Use the Kintone MCP in Vercel AI SDK

Q: Can I use the Vercel AI SDK to build a real-time Kintone dashboard?

Yes, it's ideal for that. Your agent can call listrecords and the AI SDK's streaming capabilities will render records into your UI as they arrive, not after a long wait.

Q: How does my Vercel AI SDK agent know what fields to use for a Kintone app?

Your agent can call listformfields or getapplayout. This returns the exact field codes and structure needed to correctly format data for addrecord or updaterecord calls.

Stream Kintone records directly into your UI with the Vercel AI SDK. No loading spinners, just live data.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Kintone MCP to Vercel AI SDK

Create your Vinkius account to connect Kintone to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kintone with Vercel AI SDK

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Build Live Kintone Dashboards

Your agent can pull a list of leads from a Kintone app. With the AI SDK, you don't wait for the whole list. You see each record pop into your Next.js table as it's fetched by `list_records`. When a user clicks to see more, your agent calls `get_record`. The full customer history streams into a modal, field by field. It's a completely different feel than a traditional API call.

Create Records from Chat

Let users add new sales leads or support tickets to Kintone right from a chat interface. Your agent takes the user's text, structures it, and sends it to `add_record`. The real magic is the instant feedback. The AI SDK streams a confirmation message back, maybe even using `get_record` to pull the newly created record and display it in the UI immediately. The user sees their entry is safe in Kintone.

Your Vercel AI SDK MCP Server

Your agent isn't flying blind. It can use `list_apps` to find the right Kintone app ID and then `list_form_fields` to understand the data it needs to collect. This means you can build a single, smart component that adapts to different Kintone apps. The agent figures out if it needs a 'company_name' or a 'customer_id' on its own, based on the `get_app_layout` response. This MCP Server makes your agent smarter.

Setup guide

Set up Kintone MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 Kintone tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 Kintone transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kintone. 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.

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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 Kintone MCP in Vercel AI SDK

Yes, it's ideal for that. Your agent can call `list_records` and the AI SDK's streaming capabilities will render records into your UI as they arrive, not after a long wait.

Your agent can call `list_form_fields` or `get_app_layout`. This returns the exact field codes and structure needed to correctly format data for `add_record` or `update_record` calls.

Absolutely. You can build an interface where a user edits data, and your agent calls `update_record` with the record ID and the new field values.

You don't. Vinkius handles the Kintone-side authentication. You get a single, secure MCP endpoint URL and token to put in your app.

It only touches the Kintone record and app metadata you specifically request. Your Vinkius token is sandboxed and ephemeral, so access is limited to the calls your agent makes during a single session.

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