4,000+ servers built on vurb.ts
Vinkius
Mastra AISDK
Mastra AI
Kintone MCP Server

Bring Low Code
to Mastra AI

Learn how to connect Kintone to Mastra AI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Add RecordsDelete RecordsGet App FieldsGet RecordGet Space DetailsList AppsList RecordsUpdate Records

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Kintone

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

  1. Subscribe to this server
  2. Enter your Kintone domain and API Token
  3. 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)

add_records

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

delete_records

Delete records from an app

get_app_fields

Get app field settings

get_record

Get details for a specific record

get_space_details

Get details for a space

list_apps

List all accessible Kintone apps

list_records

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

update_records

Update one or more records

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and Kintone tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Kintone without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every Kintone tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

Kintone in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Kintone and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Kintone to Mastra AI 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Kintone in Mastra AI

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 Mastra AI 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.

Kintone
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Kintone for Mastra AI

Every tool call from Mastra AI to the Kintone MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

Can I create and update records?

Yes. Create new records with field values, update existing records, and manage data across all your Kintone apps.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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