How do I find my QingFlow Access Token?

Log in to QingFlow, go to the Qing Store (轻商城), install the 'OPEN API' plugin under Third-party Connections, and find your Access Token in the plugin configuration.

Can I check why a request is pending approval?

Yes. Using the `get_workflow_status` tool with the application and record IDs, you can retrieve the current approval node, the person responsible, and the status of the process.

How do I format the data for creating a record?

QingFlow uses a specific format for its fields. Use the `get_app_schema` tool first to see the `queId` for each field, then provide the data as a JSON string following the required structure.

QingFlow MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: QingFlow
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install QingFlow and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

GitHub Copilot Agent mode brings QingFlow data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the QingFlow MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using QingFlow

Ask Copilot: "Using QingFlow, help me..." — 10 tools available

Why Use VS Code Copilot with the QingFlow MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with QingFlow through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

QingFlow + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the QingFlow MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

QingFlow MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect QingFlow to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting QingFlow to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

QingFlow + VS Code Copilot FAQ

Common questions about integrating QingFlow MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.