How to Use the Balena MCP in Cline

Q: Will Cline show me my active Balena organizations?

Just ask it to map out your infrastructure. It fires listorganizations and whoami to map out your account structure and available fleets.

Build edge applications faster by letting Cline manage your Balena devices and releases right inside VS Code.

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Connect Balena MCP to Cline

Create your Vinkius account to connect Balena to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Balena with Cline

Ask AI about this MCP

ChatGPT

Claude

Perplexity

End-to-End Fleet Queries in VS Code

Balena controls distributed edge hardware, giving you direct access to device states and fleet structures. Cline uses the `list_devices` tool to pull live sensor hardware data straight into your workspace. You tell your coding agent to build a dashboard for your Raspberry Pi fleet. It fetches the live UUIDs, writes the React components, and imports the API data without needing manual instructions.

Automated Balena MCP Server Provisioning

Writing deployment scripts requires knowing exactly which hardware runs what software. Your AI client grabs the current application state using `list_fleets` and `list_releases`. When you need to inject new credentials, the agent writes the code and then executes `create_device_env_var` to push the config. It stages the commit and shows you the diff before moving on.

Hardware OS Management

Finding the right base image for new edge hardware usually breaks your focus. The agent executes `list_os_versions` to check what builds match your target device type. After confirming the version, it runs `get_os_download_url` to grab the balenaOS image. It then writes the necessary Dockerfile or setup script using that exact link.

Setup guide

Set up Balena MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type balena-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Balena refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "balena-mcp": {
      "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 Balena. 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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Real-time monitoring

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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

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Balena MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. Go to the Remote Servers tab and add your Vinkius HTTP transport URL. You can also edit cline_mcp_settings.json directly.

It handles the entire process. The agent writes your config files, tests them, and runs `create_device_env_var` to apply the changes to your edge hardware.

The server accepts OData parameters. Your agent writes queries using $filter to isolate specific hardware UUIDs before running any update commands.

Just ask it to map out your infrastructure. It fires `list_organizations` and `whoami` to map out your account structure and available fleets.

The MCP architecture ensures your fleet slugs and authentication tokens never linger. Every tool execution happens in an isolated, single-use V8 sandbox. Once the data returns to your IDE, the execution environment vanishes.

Use it with your favorite AI tools

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

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