QingFlow MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect QingFlow through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"qingflow": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "QingFlow Agent",
instructions:
"You help users interact with QingFlow " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with QingFlow?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and QingFlow tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the QingFlow MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from QingFlow via MCP
Why Use Mastra AI with the QingFlow MCP Server
Mastra AI provides unique advantages when paired with QingFlow through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add QingFlow without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every QingFlow tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
QingFlow + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the QingFlow MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query QingFlow, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed QingFlow as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query QingFlow on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using QingFlow tools alongside other MCP servers
QingFlow MCP Tools for Mastra AI (10)
These 10 tools become available when you connect QingFlow to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting QingFlow to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpQingFlow + Mastra AI FAQ
Common questions about integrating QingFlow MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect QingFlow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.