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Kintone MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Add Records, Delete Records, Get App Fields, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kintone through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this MCP Server for OpenAI Agents SDK

The Kintone MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Kintone Assistant",
            instructions=(
                "You help users interact with Kintone. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Kintone"
        )
        print(result.final_output)

asyncio.run(main())
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* 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.

The OpenAI Agents SDK auto-discovers all 8 tools from Kintone through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kintone, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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

Add records on Kintone

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

delete

Delete records on Kintone

Delete records from an app

get

Get app fields on Kintone

Get app field settings

get

Get record on Kintone

Get details for a specific record

get

Get space details on Kintone

Get details for a space

list

List apps on Kintone

List all accessible Kintone apps

list

List records on Kintone

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

update

Update records on Kintone

Update one or more records

Connect Kintone to OpenAI Agents SDK via MCP

Follow these steps to wire Kintone into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 8 tools from Kintone

Why Use OpenAI Agents SDK with the Kintone MCP Server

OpenAI Agents SDK provides unique advantages when paired with Kintone through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Kintone + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Kintone MCP Server delivers measurable value.

01

Automated workflows: build agents that query Kintone, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Kintone, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Kintone tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Kintone to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Kintone in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kintone immediately.

01

"List all apps and show the latest 5 records from the 'Sales Pipeline' app."

02

"Create a new deal in Sales Pipeline and query all deals over $50K."

03

"Show the field configuration for the Customer DB app."

Troubleshooting Kintone MCP Server with OpenAI Agents SDK

Common issues when connecting Kintone to OpenAI Agents SDK through Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Kintone + OpenAI Agents SDK FAQ

Common questions about integrating Kintone MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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