How to Use the QingFlow MCP in Cursor

Q: How do I install the QingFlow MCP Server in Cursor?

Create a .cursor/mcp.json file in your project root and add the server config. Cursor will automatically load the tools, letting you call them in Agent mode.

Q: Can Cursor write data to my QingFlow apps during a chat session?

Yes, Cursor can run createrecord to insert test data directly into your app. This is perfect for verifying how your application handles newly created records.

Q: How does Cursor update existing QingFlow records?

Cursor runs the updaterecord tool to modify fields in your apps based on your instructions. You can tell the editor to fix bad data formats across your entire database.

Q: Can I delete test records using Cursor?

Yes, the deleterecord tool lets Cursor clean up any test entries created during your development session.

Generate code that interacts directly with your QingFlow backend using Cursor in agent mode.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect QingFlow MCP to Cursor

Create your Vinkius account to connect QingFlow to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup QingFlow with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Build Code with Real QingFlow Schemas in Cursor

The `get_app_schema` tool pulls the exact JSON structure of your business apps directly into Cursor. Your editor can write precise API calls without you ever looking up field IDs in a browser. While coding in Cursor, the agent uses `list_apps` to verify target database IDs on the fly, relying on the background MCP Server connection. This prevents runtime errors caused by mismatched database schemas.

Debug Database Records Inline

The `list_data` tool lets Cursor fetch live database entries to populate your local test suites with real-world inputs. You don't need to write mock data generators anymore. If a test fails, Cursor can trigger `get_record_details` to inspect the exact state of the failing record. It shortens your debugging cycle down to seconds.

Integrate Workflows into Your Cursor MCP Server

The `list_workflows` tool exposes your active business logic paths directly inside the Cursor editor. You can map out how your code triggers external approvals without leaving your workspace. When testing webhook integrations, Cursor uses `get_workflow_status` to verify that your code successfully advanced a record to the next approval step. It makes end-to-end integration testing painless.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "qingflow-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 QingFlow. 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 QingFlow 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 QingFlow MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and add the server config. Cursor will automatically load the tools, letting you call them in Agent mode.

Yes, Cursor can run `create_record` to insert test data directly into your app. This is perfect for verifying how your application handles newly created records.

Cursor runs the `update_record` tool to modify fields in your apps based on your instructions. You can tell the editor to fix bad data formats across your entire database.

Yes, the `delete_record` tool lets Cursor clean up any test entries created during your development session.

Your workflow statuses and user directories are protected via the Vinkius MCP Server sandbox. Cursor only accesses this metadata during active sessions, and your authentication keys are never exposed to the LLM provider.

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