Kintone MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Add Records, Delete Records, Get App Fields, and more

Name: Kintone
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kintone 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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The Kintone MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

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 Kintone, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 Kintone MCP Server

Connect your Kintone instance to any AI agent and manage business applications through natural conversation.

The Vercel AI SDK gives every Kintone 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

App Management — List all apps and inspect their field configurations
Record Operations — Create, read, update, and query records in any app
Data Queries — Search records using Kintone query syntax with field filters
Field Access — Browse app fields and their types for data modeling

The Kintone MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Kintone tools available for Vercel AI SDK

When Vercel AI SDK connects to Kintone through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, workflow-automation, database-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add records on Kintone

Input should be a JSON array of record objects. Add one or more records to an app

delete

Delete records on Kintone

Delete records from an app

get

Get app fields on Kintone

Get app field settings

get

Get record on Kintone

Get details for a specific record

get

Get space details on Kintone

Get details for a space

list

List apps on Kintone

List all accessible Kintone apps

list

List records on Kintone

You can provide an optional query string. List records from a Kintone app

update

Update records on Kintone

Update one or more records

Connect Kintone to Vercel AI SDK via MCP

Follow these steps to wire Kintone into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 Kintone and passes them to the LLM

Why Use Vercel AI SDK with the Kintone MCP Server

Vercel AI SDK provides unique advantages when paired with Kintone 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 Kintone integration everywhere

Built-in streaming UI primitives let you display Kintone 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

Kintone + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Kintone MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Kintone in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Kintone tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Kintone capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Kintone through natural language queries

Example Prompts for Kintone in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kintone immediately.

"List all apps and show the latest 5 records from the 'Sales Pipeline' app."

"Create a new deal in Sales Pipeline and query all deals over $50K."

"Show the field configuration for the Customer DB app."

Troubleshooting Kintone MCP Server with Vercel AI SDK

Common issues when connecting Kintone to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Kintone + Vercel AI SDK FAQ

Common questions about integrating Kintone MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.