How to Use the Kissflow MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK handle Kissflow dataform exports?

Yes. Your agent can call listdataforms to find the correct form, then use listdataformitems to pull all the submitted records for analysis or migration.

Q: How do I track active Kissflow workflows?

Your agent uses listprocesses to find the target workflow, then invokes listprocessitems to fetch the status of individual requests.

Let your OpenAI Agents SDK run Kissflow processes and check datasets safely with zero-config tool discovery.

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Connect Kissflow MCP to OpenAI Agents SDK

Create your Vinkius account to connect Kissflow to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Kissflow with OpenAI Agents SDK

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Automate Kissflow workflows with OpenAI Agents SDK

Your production agent needs to run Kissflow business logic without manual intervention. By connecting this MCP Server, your agent automatically discovers tools like `list_processes` and `list_process_items` to monitor active company requests. It can pull open approvals from Kissflow and figure out exactly who needs to sign off next. Setting up this Kissflow integration is straightforward. You initialize the HTTP streamable server in Python, register it directly in the Agent constructor, and watch your agent navigate complex Kissflow flows without writing custom glue code.

Query master data tables on demand

Stop writing custom database connectors for your Kissflow workflows. This MCP Server exposes `list_datasets` and `list_dataset_items` so your agent can pull real-time reference data directly from your Kissflow account. Because OpenAI Agents SDK caches the tool list, your agent queries these master tables instantly. It gets the Kissflow context it needs to make decisions without hitting rate limits or lagging during execution.

Manage access control and user directories

Handling Kissflow permissions inside autonomous systems is usually a headache. With access to `list_users` and `list_groups`, your agent verifies who is who before moving a process forward or exposing sensitive information. You can combine these Kissflow lookups with `get_user_details` to build strict guardrails. Your agent can confirm a user's Kissflow department or role, preventing unauthorized actions before they ever hit your production systems.

Setup guide

Set up Kissflow MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Kissflow tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Kissflow tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Kissflow tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Kissflow Agent",
            instructions="You have access to Kissflow tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kissflow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Kissflow MCP in OpenAI Agents SDK

Install the SDK and use the streamable HTTP parameter class to point to your Vinkius endpoint. Pass this server instance into your Agent's initialization list, and the SDK will auto-discover all nine tools.

Yes. Your agent can call `list_dataforms` to find the correct form, then use `list_dataform_items` to pull all the submitted records for analysis or migration.

Yes, you should set the caching parameter to true in your server configuration. This MCP integration keeps tool discovery fast, avoiding network overhead on every single agent loop.

Your agent uses `list_processes` to find the target workflow, then invokes `list_process_items` to fetch the status of individual requests.

Vinkius runs the server in an isolated V8 sandbox, handling authentication via a single secure token. Your Kissflow user records and form data never touch external storage, and the connection is entirely ephemeral.

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