How to Use the Viesus MCP in Cline

Q: How do I check Viesus API health with Cline?

You execute the checkapihealth tool call. This confirms the MCP Server is operational, which is critical before attempting to write code that depends on image processing.

Q: Can Cline list supported file formats for Viesus?

Yes, running listsupportedfileformats tells you exactly what types of images the system accepts. This prevents runtime errors when you're building a component that handles user uploads.

Q: What data does Viesus touch regarding credit balance in Cline?

The getaccountcreditbalance tool reports your current API credits. Your code needs to check this before making calls, so you don't hit a quota limit mid-build.

Q: How do I list available enhancement presets using Viesus and Cline?

Call listenhancementpresets first. This lets you read all possible configurations before writing code that applies a specific look or style to an image asset.

Build components and run tests with Cline using Viesus for image data.

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Connect Viesus MCP to Cline

Create your Vinkius account to connect Viesus 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 Viesus with Cline

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Upload Images and Get URLs

To start a job, you use the `upload_image_to_viesus` tool to get an image into the system. Once processed, the final link is retrieved using `get_enhanced_image_url`. Cline executes this workflow by passing the raw file data and then fetching the usable output URL.

Inspect Image Technical Details

When building a component that needs to display image info, you can run `get_image_metadata` on an uploaded asset. This pulls specific technical details—like resolution or file type—which is way more reliable than assuming the data.

Manage Processing Workflow

The job lifecycle requires checking status and listing history. Cline uses `get_enhancement_job_status` to confirm a task finished correctly. You can also check `list_processing_history` to validate the sequence of steps that just ran.

Setup guide

Set up Viesus 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 viesus-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 Viesus 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": {
    "viesus-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Viesus. 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.

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Common questions about Viesus MCP in Cline

You execute the `check_api_health` tool call. This confirms the MCP Server is operational, which is critical before attempting to write code that depends on image processing.

Yes, running `list_supported_file_formats` tells you exactly what types of images the system accepts. This prevents runtime errors when you're building a component that handles user uploads.

The `get_account_credit_balance` tool reports your current API credits. Your code needs to check this before making calls, so you don't hit a quota limit mid-build.

Vinkius handles the secure connection layer. You simply point your local environment to the MCP Server endpoint, and Cline manages the tool invocation through its task execution flow.

Call `list_enhancement_presets` first. This lets you read all possible configurations before writing code that applies a specific look or style to an image asset.

Use it with your favorite AI tools

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