Compatible with every major AI agent and IDE
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 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.
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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
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TypeScript-native: full type inference for every Kintone tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Kintone in Mastra AI
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.
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 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.

* 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 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.
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 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.
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.
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.
createMCPClient not exported
Install: npm install @mastra/mcp
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