Kintone MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Add Records, Delete Records, Get App Fields, and more
GDPR Free for SubscribersMastra 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.
Ask AI about this MCP Server for Mastra AI
The Kintone MCP Server for Mastra AI is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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-alternative": {
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 8 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 instance to any AI agent and manage business applications through natural conversation.
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.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 records on Kintone
Input should be a JSON array of record objects. Add one or more records to an app
Delete records on Kintone
Delete records from an app
Get app fields on Kintone
Get app field settings
Get record on Kintone
Get details for a specific record
Get space details on Kintone
Get details for a space
List apps on Kintone
List all accessible Kintone apps
List records on Kintone
You can provide an optional query string. List records from a Kintone app
Update records on Kintone
Update one or more records
Connect Kintone to Mastra AI via MCP
Follow these steps to wire Kintone into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
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
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 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 Mastra AI
Common issues when connecting Kintone to Mastra AI through 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?
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