How to Use the Kissflow MCP in Cursor

Q: How do I set up the Kissflow MCP server in Cursor?

Create a mcp.json file in your project's .cursor directory. Add the Kissflow server configuration to the mcpServers key, then restart Cursor. The tools will then be available to the agent.

Q: How can I check all items in a Kissflow workflow with Cursor?

Tell the agent to use the listprocessitems tool with the specific Process ID. It will return all the items, which you can then ask the agent to format, analyze, or use to generate a reporting script.

Q: What happens to my Kissflow data when I use this with Cursor?

The MCP server fetches data like dataformitems or userdetails from the Kissflow API and passes it directly to your local Cursor instance. This data is used by the agent in-memory to generate code and is not stored by Vinkius or the MCP server.

Use Cursor's agent to write code that calls your Kissflow API. Get real data, not stubs, injected directly into your editor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Kissflow MCP to Cursor

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

GDPR Free for Subscribers

Setup Kissflow with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Generate Scripts with Live Kissflow Data

Stop writing boilerplate to hit an API. Tell the Cursor agent, "Draft a Python script to pull all active processes," and it will use the `list_processes` tool to get real data and write the code for you. The output is a working script, not a generic template. This changes how you build internal tools. Instead of toggling between API docs and your editor, you just describe the goal. The agent fetches live process items with `list_process_items` or user lists via `list_users` and scaffolds the exact code you need to work with them.

Build Interfaces from Real Datasets

You can use the agent to inspect your Kissflow data structures and build from there. Ask it to `list_datasets`, pick one, and have it generate a TypeScript interface based on the items returned by `list_dataset_items`. It's faster than manual typing and you know it's correct. This is great for building front-ends or data dashboards. You get type safety from day one because your code is based on actual API responses from your Kissflow account. No more guesswork or outdated documentation.

Audit Access and Permissions in Code

Use Cursor to write scripts for governance and reporting. The agent can use `list_users` and `list_groups` to fetch all your access control data from Kissflow. From there, you can ask it to write a script that flags users who are in multiple conflicting groups or identifies processes with no clear owner. Because you’re in your editor, you can immediately commit this audit script to your repository. This MCP server turns a manual compliance check into a repeatable, automated test that lives with your codebase.

Setup guide

Set up Kissflow MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Kissflow MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Kissflow transactions." If the MCP tools are loaded correctly, Cursor will call the Kissflow tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "kissflow-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Kissflow now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kissflow MCP in Cursor

Create a `mcp.json` file in your project's `.cursor` directory. Add the Kissflow server configuration to the `mcpServers` key, then restart Cursor. The tools will then be available to the agent.

No, this toolset is for reading data only. You can use tools like `list_processes` and `list_dataforms` to see what exists, but there are no tools to create, update, or delete records in your Kissflow account.

Efficiency. Instead of you writing the HTTP request, handling auth, and parsing the response, the Cursor agent does it for you. It uses the tool's live output to write functional code, saving you the manual effort.

Tell the agent to use the `list_process_items` tool with the specific Process ID. It will return all the items, which you can then ask the agent to format, analyze, or use to generate a reporting script.

The MCP server fetches data like `dataform_items` or `user_details` from the Kissflow API and passes it directly to your local Cursor instance. This data is used by the agent in-memory to generate code and is not stored by Vinkius or the MCP server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript