Kintone MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
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
Vinkius supports streamable HTTP and SSE.
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 10 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 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.
The OpenAI Agents SDK auto-discovers all 10 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
- 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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Kintone MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 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.
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
Kintone MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kintone to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Kintone to OpenAI Agents SDK through the 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?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.