QingFlow MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"qingflow": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About QingFlow MCP Server
Empower your AI agent to orchestrate your business processes with QingFlow, the premier no-code BPM platform for digital transformation. By connecting QingFlow to your agent, you transform complex application management and data orchestration into a natural conversation. Your agent can instantly list your applications, retrieve form schemas, manage records (create, update, delete), and even monitor workflow approval statuses without you ever needing to navigate the technical dashboard. Whether you are managing procurement, HR approvals, or project tracking, your agent acts as a real-time process manager, ensuring your business logic is always executed and optimized.
Cursor's Agent mode turns QingFlow into an in-editor superpower. Ask Cursor to generate code using live data from QingFlow and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Application Orchestration — List all accessible applications and browse their internal structures.
- Data Management — Manage application records with full support for creating, listing, and granular updates.
- Workflow Monitoring — Check the current status of automated workflows and approval processes for any record.
- Schema Auditing — Retrieve application schemas to understand field structures and widget IDs.
- User Coordination — Access workspace user lists to manage assignments and participation effectively.
The QingFlow MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect QingFlow to Cursor via MCP
Follow these steps to integrate the QingFlow MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using QingFlow
Open Agent mode in chat and ask: "Using QingFlow, help me..." — 10 tools available
Why Use Cursor with the QingFlow MCP Server
Cursor AI Code Editor provides unique advantages when paired with QingFlow through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
QingFlow + Cursor Use Cases
Practical scenarios where Cursor combined with the QingFlow MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
QingFlow MCP Tools for Cursor (10)
These 10 tools become available when you connect QingFlow to Cursor via MCP:
create_record
Create a new application record
delete_record
Delete an application record
get_app_schema
Get application field schema
get_record_details
Get record detailed data
get_workflow_status
Get record workflow status
list_apps
List all QingFlow applications
list_data
List records in an application
list_users
List workspace users
list_workflows
List application workflows
update_record
Update an existing record
Example Prompts for QingFlow in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with QingFlow immediately.
"List all applications in my QingFlow workspace."
"Show me the records for the 'Asset Management' application."
"What is the approval status for record 'req-9920' in 'Leave Request'?"
Troubleshooting QingFlow MCP Server with Cursor
Common issues when connecting QingFlow to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
QingFlow + Cursor FAQ
Common questions about integrating QingFlow MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect QingFlow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect QingFlow to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
