How to Use the Kissflow MCP in Claude Code

Claude Code runs Kissflow automation from your terminal, perfect for CI/CD and scripts.

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Connect Kissflow MCP to Claude Code

Create your Vinkius account to connect Kissflow to Claude Code 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 Claude Code

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Automate Kissflow tasks in the terminal

Pipe the output of `list_processes` directly into your shell scripts. Claude Code reads the data and executes follow-up actions based on your logic. It is built for headless environments. You can run it in a container or a cron job to keep your systems updated.

Fetch datasets using this MCP Server

Use `list_datasets` and `list_dataset_items` to pull master data into your build pipeline. The tools return clean JSON that is ready for processing. It removes the need for custom API wrappers. You interact with your data using standard command-line patterns.

Manage users from the command line

Quickly verify `get_user_details` or audit your `list_users` database during deployment. It gives you immediate feedback on account status without requiring a browser. It is the fastest way to perform administrative checks. You stay in your terminal while the agent handles the heavy lifting.

Setup guide

Set up Kissflow MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see kissflow-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Kissflow transactions." It will automatically discover and invoke the available Kissflow tools.

Terminal

claude mcp add --transport http kissflow-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Kissflow MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "kissflow-mcp": {
      "type": "url",
      "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.

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Common questions about Kissflow MCP in Claude Code

Use the terminal command to add the server with your endpoint URL. Claude Code confirms the connection and lists the available tools.

Yes, it uses the provided tools to list and inspect processes. You can chain these calls to automate your reporting tasks.

It is designed for headless use. You can call it from a shell script or a GitHub Action to verify data integrity.

Run a request to list process items or dataset records. The server fetches the data and outputs it directly to your terminal.

The server uses a dedicated endpoint token and does not store your records. Every fetch of `list_dataform_items` is logged and performed over a secure, encrypted transport.

Use it with your favorite AI tools

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