How to Use the Flowise MCP in Cline

Q: How does Cline use Flowise for coding?

Cline uses listtools to understand your workflow capabilities. It then writes code that interacts with those tools to build your application.

Q: Is Flowise integration in Cline reliable?

It is. Cline uses the predict tool to verify its work as it goes. If the prediction returns an error, Cline sees it immediately and adjusts its approach.

Q: What happens to my Flowise credentials in Cline?

Cline manages them locally. The listcredentials tool only provides the names of the credentials so the agent knows what it can access.

Connect the Flowise MCP Server to Cline to let it build, test, and run your low-code workflows automatically.

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Connect Flowise MCP to Cline

Create your Vinkius account to connect Flowise to Cline 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 Flowise with Cline

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Cline runs predictions with Flowise

Cline uses `predict` to execute your chatflows as part of its task loop. It sends the required parameters and writes the output directly into your project files. This removes the manual work of copying results. Cline sees the output and continues building based on the actual returned data.

List and inspect flows in Cline

Call `list_chatflows` or `list_agentflows` to let Cline see what you have built. It maps the structure of your logic before it starts writing code. Cline uses `get_chatflow` to grab specific configurations. It understands your flow setup before it attempts any implementation.

Audit runtime logs using the Flowise MCP Server

Cline can fetch past execution data with `get_history`. It reviews these logs to identify why a specific prediction failed or behaved unexpectedly. It treats `get_history` as a source of truth for debugging. Cline fixes the logic and re-runs the prediction until the test passes.

Setup guide

Set up Flowise MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type flowise-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Flowise refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Flowise MCP in Cline

Yes. Use the MCP Servers tab in the Cline sidebar to add the server URL. Cline will discover all available tools instantly.

Cline uses `list_tools` to understand your workflow capabilities. It then writes code that interacts with those tools to build your application.

It is. Cline uses the `predict` tool to verify its work as it goes. If the prediction returns an error, Cline sees it immediately and adjusts its approach.

Cline manages them locally. The `list_credentials` tool only provides the names of the credentials so the agent knows what it can access.

The server uses a local transport layer to keep your chat history and credential names private. No outside party sees the content of your predictions.

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