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How to Use the Flowise MCP in Windsurf

Use the Flowise MCP Server to let Cascade build and run complex workflows directly inside your Windsurf environment.

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Works with every AI agent you already use

…and any MCP-compatible client

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Windsurf

Connect Flowise MCP to Windsurf

Create your Vinkius account to connect Flowise to Windsurf 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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Execute flows directly in Windsurf

Cascade can trigger your logic by calling `predict` on any active chatflow. It handles the input payload and returns the output without you leaving the editor. Stop switching tabs to test your logic. Cascade reads the output from `predict` and applies the results to your codebase immediately.

Audit execution history within Windsurf

Use `get_history` to pull execution logs into your current context. You get full visibility into past runs without digging through external dashboards. Cascade parses these logs to debug issues. It compares the `get_history` data against your code to find where the logic diverged.

Manage your flows with the Windsurf MCP Server

The Windsurf MCP Server allows Cascade to query your environment with `list_chatflows` and `list_agentflows`. It knows exactly what is available to run. When you need to verify setup, Cascade invokes `list_tools` to check integration points. It treats your flows as first-class code components.

Setup guide

Set up Flowise MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Flowise 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. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Flowise payment history." If connected, Cascade will call the Flowise tools directly. You will see a green dot next to the server name in the MCP panel.

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flowise. 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.

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 Flowise MCP in Windsurf

Add the server configuration to your `mcp_config.json` file. Windsurf will pick up the tools immediately upon refresh.
Yes. Cascade uses `list_chatflows` to index your workspace. You can ask it to show you available flows and it will list them in your chat.
You can. Once connected, use `predict` to fire off workflows. Cascade handles the execution and displays the response in the chat panel.
They stay on your machine. The `list_credentials` tool only exposes metadata needed for the agent to know which keys are ready.
Your chatflow history and prediction logs never leave your local Windsurf instance. The server only transmits the specific data required for the tool calls you initiate.

Start using the Flowise MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Flowise. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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