QingFlow MCP. Manage business applications and data records via natural conversation.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
QingFlow connects your AI client to a no-code BPM platform, letting you run complex business processes through natural conversation. Your agent can list applications, retrieve form schemas, and manage records (create, update, delete) without needing to open any dashboard.
It handles everything from HR approvals to asset tracking.
What your AI agents can do
Create record
This tool creates a brand-new application record with specified data fields.
Delete record
The agent deletes an existing application record, provided you have the necessary permissions.
Get app schema
It retrieves a list of all fields and their types for a given application form.
You can list all accessible business applications within the QingFlow workspace using list_apps.
The agent handles CRUD (Create, Read, Update, Delete) operations on application records through tools like create_record, read_record_details, and update_record.
You get real-time status updates for any record's approval process using get_workflow_status.
The agent retrieves the field structure of an application using get_app_schema, letting you know exactly what data fields exist.
You can list workspace users with list_users to manage who has access or needs participation on a record.
Ask AI about this MCP
Supported MCP Clients
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QingFlow MCP Server: 10 Tools for Business Process Ops
These ten tools allow your agent to interact with every core function of the QingFlow platform—from listing applications to modifying individual records and checking status.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using QingFlow on Vinkius019d8473create record
This tool creates a brand-new application record with specified data fields.
019d8473delete record
The agent deletes an existing application record, provided you have the necessary permissions.
019d8473get app schema
It retrieves a list of all fields and their types for a given application form.
019d8473get record details
This tool pulls the specific, current data from any existing record ID you provide.
019d8473get workflow status
It checks and reports the precise stage an application record is in (e.g., 'Pending HR Review').
019d8473list apps
You can get a list of every single business application available within your QingFlow workspace.
019d8473list data
This tool lists all the records currently stored in a specific application type.
019d8473list users
It pulls a list of all user accounts that belong to your workspace.
019d8473list workflows
You can get an overview of all the automated workflow definitions available in the system.
019d8473update record
This tool modifies specific fields on a record that already exists, saving the changes immediately.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with QingFlow, then connect any of our 4,900+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,900+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Managing business workflows shouldn't feel like a puzzle with 17 tabs.
Right now, tracking an approval process means logging into App A to get the record ID. Then you jump to Dashboard B just to see who approved it and when. If that fails, you copy the ID and paste it into Sheet C for a manual check. It's slow, it’s brittle, and if your agent can't find a button labeled 'Status,' you're stuck.
With QingFlow MCP Server, that entire multi-system journey collapses. You just ask: 'What is the status of record X?' Your agent executes `get_workflow_status` internally—all those dashboard jumps happen in milliseconds—and spits out a clear answer to your chat client.
QingFlow MCP Server lets you manage applications and data records directly.
Before, updating an asset record meant knowing exactly which form it came from, what the field IDs were, and ensuring all related workflow flags were set. This required developers to write complex code just for basic updates—a huge source of technical debt.
Now, your agent handles that complexity. You tell it, 'Update this asset with new serial number Z.' It figures out the correct application schema via `get_app_schema` and calls `update_record` using the right data structure—all invisible to you. The process just works.
What you can do with this MCP connector
You're running a business process through your AI client that normally requires logging into ten different dashboards just to check one status update. That’s pain. QingFlow changes that. You connect your agent, and it treats complex operational logic like a simple conversation. Instead of dealing with clunky forms or deep menus, you talk to the system, and your agent executes real business actions using specialized tools.
You start by figuring out what's available. Your agent uses list_apps to pull up every single business application running in your QingFlow workspace; it lets you see all accessible systems at a glance. Once you know which app you need, the system lets you check the data structure itself. You run get_app_schema, and that instantly shows you a list of every field name and its required data type for that application form.
For managing user access, your agent pulls up all accounts in the workspace using list_users. If you need an overview of automated processes, you can call list_workflows to get a summary of all defined workflow rules. To see what records exist within a specific app type, the tool runs list_data, giving you a roster of every record currently stored there.
The core function is handling data—the whole CRUD cycle. When you need to start something new, your agent uses create_record to generate an entirely fresh application record, filling in all the required data fields right from the chat conversation. If that record needs changes later on, it modifies specific details using update_record, saving those adjustments immediately.
Conversely, if a record is obsolete or wrong, you can have your agent delete it with delete_record, assuming you've got the necessary permissions to do so.
When you just need to know what's in an existing file, your agent pulls the specific, current data for any record ID you provide via get_record_details. This gives you a clean readout of exactly what numbers and text are attached to that particular instance. Beyond basic reading, understanding progress is critical.
You run get_workflow_status on any record to check its real-time approval stage—it tells you if it's 'Pending HR Review,' for example.
This whole setup means your agent doesn't guess or wander through menus; it runs specific code against the platform. It manages everything from tracking assets and handling payroll requests to processing vendor approvals, ensuring that every business rule gets followed correctly without you ever having to open a dashboard.
019d8473-38d9-72b3-9748-795ff3b22fe9 
How QingFlow MCP Works
- 1 Subscribe to the QingFlow MCP Server and input your unique Access Token.
- 2 Instruct your AI client (e.g., 'List all applications for HR').
- 3 The agent calls the necessary tool (
list_apps), receives structured data, processes it, and presents a conversational answer.
The bottom line is: you talk to your agent like a human, but it executes complex, multi-step backend operations on QingFlow for you.
Who Is QingFlow MCP For?
This is for Ops Leads and Digital Transformation Officers—the people who spend too much time jumping between dashboards just to track one single piece of data. If your job involves managing processes that span multiple internal systems (HR, IT Assets, Finance), this cuts the complexity down to a chat window.
Needs to check if a specific expense reimbursement record is stuck in an approval queue. They use get_workflow_status instead of logging into the web portal.
Has to verify which fields are available on an old application form, or if a new field needs to be added. They call get_app_schema to audit the structure.
Needs to quickly generate initial data for a new project record and assign it to the right team members, using list_users and create_record.
What Changes When You Connect
- Check status instantly: Instead of digging through a dashboard, use
get_workflow_statusto know exactly which approval step a record is stuck on. This saves time tracking down bottlenecks. - See your whole system at once: Use
list_appsto get an inventory of every application in the workspace. You'll instantly remember that 'Asset Management' exists, even if you haven't used it recently. - Audit data structure fast: Need to know what fields are on a form? Call
get_app_schema. It spits out the field types and widget IDs so developers don't have to guess. - Modify records without clicks: Use
update_recordwhen you need to change a specific date or owner. You just tell your agent, 'Update record X with Y data,' and it handles the payload. - Maintain clean history: Need to start a new process? Run
create_record. It ensures the initial application is set up correctly before any work begins.
Real-World Use Cases
The stalled expense report
A manager needs to know why 'exp-345' hasn't been approved. Instead of checking the HR system, they ask their agent. The agent runs get_workflow_status, discovers it's stuck at 'Finance Review,' and tells the manager who needs to follow up.
Onboarding a new employee
The IT department uses the AI client to onboard an asset. They run list_users to find the correct team lead, then use create_record with specific asset data and assign it to that user.
Fixing bad application data
A record was created incorrectly. The agent first runs get_app_schema to confirm the required fields, then uses update_record to correct the owner and status without deleting the entire entry.
Inventory check for assets
You need a quick list of all asset records. You run list_data, get 40 items, spot the missing serial number 'SN-901', and immediately use get_record_details to pull up its history.
The Tradeoffs
Assuming data exists
A user tries to update a record using update_record but doesn't know the correct field name or ID. The call fails, and they waste time debugging API errors.
→
Before writing any changes, always use get_app_schema first. This confirms the exact structure (field names, required types) you need to pass into the write tools.
Trying to list everything at once
The user asks for 'all data' without specifying an application type or record ID. The agent fails because the scope is too broad.
→
Always start by using list_apps to narrow down the domain. Then, use list_data on the specific app name you want to check.
Blindly deleting records
A user says 'delete record XYZ' without checking if any workflows are tied to it. The delete operation succeeds, but critical audit data is lost.
→
Always run get_workflow_status before calling delete_record. This confirms if the record is still active in an approval process and flags potential dependencies.
When It Fits, When It Doesn't
Use this MCP Server if your business logic relies on structured data, specific forms, or multi-stage approvals. If you need to manage records (creating, updating, reading) or track state changes across different 'apps,' QingFlow is the tool. It's designed for process management—the kind of thing that happens in a defined sequence.
Don't use it if your primary goal is simply retrieving unstructured text (like pulling an email body or summarizing a document). For general knowledge retrieval, you want a dedicated search or RAG system instead. If your task is merely chatting about concepts, stick to plain LLM calls; don't route them through QingFlow. You only use it when the process itself—the 'how' and 'where' of the data—is the critical piece of information.
Common Questions About QingFlow MCP
How does QingFlow MCP Server handle permissions? +
The server manages access control through your provided Access Token and relies on the underlying platform's user lists (list_users). Your agent only executes tools for which the connected workspace grants permission.
Can I use QingFlow MCP Server to create records? +
Yes. You use create_record when you need to start a new application instance. You must provide all required field data in the payload, otherwise the creation will fail.
Do I need to know the schema to use QingFlow MCP Server? +
No. Your agent handles that for you; it calls get_app_schema behind the scenes when needed so that write operations like create_record or update_record are structured correctly.
What is the difference between list_data and get_record_details? +
list_data shows you a paginated list (the index) of many records in an app. get_record_details pulls up all the specific fields for one single record ID.
Does `list_data` support pagination when I have a large number of records? +
Yes, it handles large datasets using offset and limit parameters. You specify the required page size and starting point to retrieve record sets exceeding the default API limits.
What happens if I try to `update_record` with an invalid or deleted ID? +
The server returns a clear 404 error code, telling you the record ID doesn't exist. You must use get_record_details first to confirm the correct identifier before making any changes.
How does using `list_apps` help me understand my available applications? +
Calling list_apps gives you a complete list of every application QingFlow manages for your workspace. This quickly shows you which domains and structures are accessible via the MCP server.
Can I use `get_workflow_status` to see the full history of changes? +
The tool provides the record's current status and its last known stage. For a complete audit trail, you must cross-reference this API data with the application's internal change logs.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.