How to Use the Unleash (Feature Toggles) MCP in Cline

Q: Can I list all available projects and environments in Cline?

Yep. You run listprojects to see every Unleash project ID configured, and then use listenvironments for a rundown of all operational deployment stages.

Q: What if I need to check feature toggles for different user roles in Cline?

You can pass context into getfrontendfeatures. This lets you test how your code handles multiple user types—like an admin versus a basic viewer—before running the build.

Q: How do I ensure my new feature is tracked using Unleash (Feature Toggles) in Cline?

After writing the component, use reportclientmetrics to log flag usage. This ensures that every time you run tests, your flag adoption data gets updated.

Write code that respects feature flags using Cline's end-to-end task execution.

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Connect Unleash (Feature Toggles) MCP to Cline

Create your Vinkius account to connect Unleash (Feature Toggles) 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 Unleash (Feature Toggles) with Cline

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Execute context-aware flag checks

The `get_client_features` tool fetches active feature flags, letting you write code that adapts to the current environment. Cline can use this data immediately—for instance, wrapping a database call only if a specific toggle is enabled. It's perfect for writing conditional logic based on the context provided by your AI client.

List and compare project features

You can write scripts that enumerate all available contexts. Running `list_projects` gives you every project ID, while `list_environments` shows where those projects are deployed. Cline uses this knowledge to build robust deployment checks. Need details for one spot? Use `list_project_features` to pull a manifest of flags for a given project.

Register and track usage metrics

When building production code, you need to account for usage. Cline can call `register_client` or `register_frontend` before running tests. More importantly, it uses `report_client_metrics` to log exactly how your component relies on specific feature flags. This tracking ensures that when you commit the dashboard, you know which toggle was critical.

Setup guide

Set up Unleash (Feature Toggles) 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 unleash-feature-toggles-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 Unleash (Feature Toggles) 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": {
    "unleash-feature-toggles-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Unleash (Feature Toggles) MCP in Cline

Cline allows you to write code that dynamically checks feature flags. If a required toggle isn't active, the script fails gracefully instead of running buggy production logic.

Yep. You run `list_projects` to see every Unleash project ID configured, and then use `list_environments` for a rundown of all operational deployment stages.

You can pass context into `get_frontend_features`. This lets you test how your code handles multiple user types—like an admin versus a basic viewer—before running the build.

After writing the component, use `report_client_metrics` to log flag usage. This ensures that every time you run tests, your flag adoption data gets updated.

This server handles and reports on user identification via the `list_users` tool, which accesses user accounts for context evaluation.

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