Kintone MCP Server for AutoGenGive AutoGen instant access to 8 tools to Add Records, Delete Records, Get App Fields, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Kintone as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Kintone MCP Server for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="kintone_alternative_agent",
tools=tools,
system_message=(
"You help users with Kintone. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Kintone tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Kintone into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Kintone MCP Server
AutoGen provides unique advantages when paired with Kintone through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Kintone tools to solve complex tasks
Role-based architecture lets you assign Kintone tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Kintone tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Kintone tool responses in an isolated environment
Kintone + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Kintone MCP Server delivers measurable value.
Collaborative analysis: one agent queries Kintone while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Kintone, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Kintone data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Kintone responses in a sandboxed execution environment
Example Prompts for Kintone in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Kintone to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Kintone + AutoGen FAQ
Common questions about integrating Kintone MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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