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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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 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 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.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Kintone, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kintone, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kintone tools and transform it with OpenAI models in a single async loop
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.
"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 OpenAI Agents SDK
Common issues when connecting Kintone to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kintone + OpenAI Agents SDK FAQ
Common questions about integrating Kintone MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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