How to Use the QingFlow MCP in Claude Code

Q: Does Claude Code support all QingFlow tools?

Every tool is exposed to your agent. Whether you need to listusers or modify records, the full toolset is available as long as your environment has the server configured.

Pipe QingFlow data directly into your Claude Code terminal. Automate records and workflows without leaving your shell.

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Connect QingFlow MCP to Claude Code

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

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Setup QingFlow with Claude Code

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Claude

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Manage QingFlow data from Claude Code

Stop context switching between your browser and terminal. You can use `list_apps` to see what you have and `list_data` to pull specific records into your current session. Everything happens in your shell. You get the raw JSON output immediately, so you can pipe it into other CLI utilities or process it with scripts.

Automate record updates via Claude Code

Write scripts that trigger `create_record` or `update_record` based on CI/CD pipeline results. It keeps your business logic synced with your deployment state. Your agent handles the API authentication once you set the endpoint. You just define the payload and let the server push changes to your workspace.

Monitor workflows inside Claude Code

Run `get_workflow_status` to check where a process is stuck. It gives you the exact state of any record without needing to log in to the dashboard. Use `list_workflows` to see all active processes. It helps you debug failures in your automation logic right from your terminal window.

Setup guide

Set up QingFlow MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see qingflow-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest QingFlow transactions." It will automatically discover and invoke the available QingFlow tools.

Terminal

claude mcp add --transport http qingflow-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the QingFlow MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "qingflow-mcp": {
      "type": "url",
      "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.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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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 Claude Code

You use the standard registration command in your terminal. Run `claude mcp add` with the server URL to register the endpoint. Your configuration lives in your local JSON file.

Yes. Since this is an MCP server, it runs headlessly in any environment. You can trigger it as part of your deployment script to log results or update status records.

Every tool is exposed to your agent. Whether you need to `list_users` or modify records, the full toolset is available as long as your environment has the server configured.

The server operates under a zero-trust model. It only touches the specific application records you request, and all traffic remains encrypted between your agent and the host.

It processes your application schemas, user lists, and record contents. None of your local environment variables or private keys leave your machine during these requests.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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