Kintone MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Kintone through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"kintone": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Kintone Agent",
instructions:
"You help users interact with Kintone " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Kintone?"
);
console.log(result.text);
}
main();
* 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 platform to any AI agent to automate your business operations. This MCP server enables your agent to interact with custom apps, manage data records, and query organizational metadata directly.
Mastra's agent abstraction provides a clean separation between LLM logic and Kintone tool infrastructure. Connect 10 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.
What you can do
- Record Management — List, retrieve, add, and update records in any of your Kintone apps
- App Discovery — List all available applications and retrieve detailed configurations and field mappings
- Data Querying — Use Kintone's powerful query language to filter records based on complex criteria
- Form Inspection — Access form field settings and layouts to understand data structures
- Space Visibility — List members and participants within your Kintone collaboration spaces
The Kintone MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Kintone to Mastra AI via MCP
Follow these steps to integrate the Kintone MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Kintone via MCP
Why Use Mastra AI with the Kintone MCP Server
Mastra AI provides unique advantages when paired with Kintone through the Model Context Protocol.
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
Kintone + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Kintone MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Kintone, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Kintone as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Kintone on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Kintone tools alongside other MCP servers
Kintone MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Kintone to Mastra AI via MCP:
add_record
Requires a JSON object mapping field codes to values. Add a new record to an app
delete_records
Requires an array of record IDs. Delete records from an app
get_app_details
Get details for a specific app
get_app_layout
Get the field layout of an app
get_record
Get a specific record from an app
list_apps
Use this to identify App IDs for record operations. List all Kintone apps
list_form_fields
List form fields for an app
list_records
You can optionally provide a query string for filtering. List records from an app
list_space_members
List members of a Kintone space
update_record
Update an existing record
Example Prompts for Kintone in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Kintone immediately.
"List all my Kintone apps."
"Show records from app ID 10 where status is 'Pending'."
"Add a new record to app 12 with name 'Jane Doe' and role 'Designer'."
Troubleshooting Kintone MCP Server with Mastra AI
Common issues when connecting Kintone to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKintone + Mastra AI FAQ
Common questions about integrating Kintone MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
Connect Kintone with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kintone to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.