Kissflow MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Get User Details, List Dataform Items, List Dataforms, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kissflow through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Kissflow app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 9 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="Kissflow Assistant",
instructions=(
"You help users interact with Kissflow. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kissflow"
)
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 Kissflow MCP Server
Connect your Kissflow account to any AI agent and manage workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Kissflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kissflow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Process Management — List and inspect automated workflows and processes
- Request Tracking — Browse, create, and update requests within processes
- Form Access — View form fields and data schemas for each process
- Approval Monitoring — Track pending approvals and their status
- Data Access — Query process data with filters and pagination
The Kissflow MCP Server exposes 9 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.
All 9 Kissflow tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Kissflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning workflow-automation, process-management, low-code, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Essential for reviewing detailed profile information. Get details for a specific user
Use this to export or review collected form data. List entries within a dataform
Dataforms are used for data collection without complex workflow logic. List all dataforms
Essential for querying master data or reference tables. List records within a dataset
Datasets serve as central tables for master data management. List all datasets
Useful for managing access control. List user groups
Useful for tracking the progress of individual flow requests. List items within a process
Processes are used to manage multi-step business logic. List all workflow processes
Use this to identify user IDs and email addresses. List all Kissflow users
Connect Kissflow to OpenAI Agents SDK via MCP
Follow these steps to wire Kissflow into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 Kissflow MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kissflow 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
Kissflow + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kissflow MCP Server delivers measurable value.
Automated workflows: build agents that query Kissflow, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kissflow, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kissflow tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kissflow to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Kissflow in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kissflow immediately.
"Show all processes and pending approvals across workflows."
"Create a new purchase request and list recent expense reports."
"Show the form fields for Leave Approval and all active leave requests."
Troubleshooting Kissflow MCP Server with OpenAI Agents SDK
Common issues when connecting Kissflow to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kissflow + OpenAI Agents SDK FAQ
Common questions about integrating Kissflow 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.