How to Use the FlowiseAI MCP in Cursor

Build and debug LLM pipelines with FlowiseAI directly inside the Cursor editor using agent-based tool calls.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FlowiseAI MCP to Cursor

Create your Vinkius account to connect FlowiseAI 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 FlowiseAI with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Agentic Flow Control in Cursor

Let your agent trigger `execute_chatflow_prediction` while you write code to test your logic against real responses. It forces the AI to use actual API outputs instead of making up mock data. Use `list_marketplace_templates` to pull in new structures. You can scaffold entire assistant architectures in seconds by letting the agent suggest the right components.

Code-Integrated Flow Management

Call `get_chatflow_details` to pull schema information directly into your open file. This helps you write code that matches your actual FlowiseAI configuration. Maintain state consistency by running `list_flow_variables` during your coding session. You see exactly what global values the pipeline expects before you commit a new function.

Real-time Vector Store Updates

Sync your code changes to your RAG pipeline by invoking `upsert_vector_data` from the terminal or chat. It keeps your search index in lockstep with your application logic. Inspect your assistant metadata with `list_ai_assistants` to verify your agent setup. You get instant feedback if a flow isn't behaving as you expected.

Setup guide

Set up FlowiseAI 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 FlowiseAI 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 FlowiseAI transactions." If the MCP tools are loaded correctly, Cursor will call the FlowiseAI tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "flowiseai-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 FlowiseAI. 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 FlowiseAI 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 FlowiseAI MCP in Cursor

Create an mcp.json file in your project root or your global config folder. Define the server settings there, and enable agent mode in the chat to start executing tools.

It is built for that exact workflow. Once you add the server to your configuration, the agent will recognize the available tools and call them when you ask to build or test a flow.

You can commit the mcp.json file to your repository in the .cursor folder. This ensures every developer on your team has the same access to the FlowiseAI tools.

The server processes your chatflow definitions and vector store contents. It only interacts with the specific flows and data stores you define within your project configuration.

The connection is isolated to your editor environment. Your credentials and flow data are never logged by the editor and are only accessible through the tools you explicitly call.

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