Bring Low Code
to Vercel AI SDK
Learn how to connect Kintone to Vercel AI SDK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Kintone MCP Server?
Connect your Kintone instance to any AI agent and manage business applications through natural conversation.
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
How it works
- Subscribe to this server
- Enter your Kintone domain and API Token
- Start managing apps from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations Teams — manage business data without opening each app
- Developers — integrate Kintone data into AI workflows
- Managers — query records and track metrics across apps
Built-in capabilities (8)
Input should be a JSON array of record objects. Add one or more records to an app
Delete records from an app
Get app field settings
Get details for a specific record
Get details for a space
List all accessible Kintone apps
You can provide an optional query string. List records from a Kintone app
Update one or more records
Why Vercel AI SDK?
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.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kintone integration everywhere
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Built-in streaming UI primitives let you display Kintone tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kintone in Vercel AI SDK
Kintone and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Kintone to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Kintone in Vercel AI SDK
The Kintone 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Kintone for Vercel AI SDK
Every tool call from Vercel AI SDK to the Kintone MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I query records across Kintone apps?
Yes. Query records using Kintone's query syntax with field filters, sorting, and pagination. Works across any app in your instance.
Does Kintone require a custom domain?
Yes. Each Kintone account has a unique domain (e.g., your-company.cybozu.com). Provide the domain and an API Token generated for the specific app.
Can I create and update records?
Yes. Create new records with field values, update existing records, and manage data across all your Kintone apps.
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.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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