How to Use the Weights & Biases MCP in Cline

Build full ML dashboards using Weights & Biases with Cline.

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Connect Weights & Biases MCP to Cline

Create your Vinkius account to connect Weights & Biases 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 Weights & Biases with Cline

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Claude

Perplexity

Scaffold an entire project dashboard.

Tell Cline to build a new component for your live room data. It writes the code, imports API calls for `list_project_artifacts`, and even stages the commit so you can review it immediately. You don't write boilerplate.

Automate hyperparameter analysis reports.

Want a comparison of sweeps? Cline handles that. It fetches data using `list_project_sweeps`, writes a Python script to compare the results, and generates a report component ready for your dashboard.

Build code around specific run details.

Need to visualize the summary metrics from one successful experiment? Cline can use `get_run_details` to pull that data. It then writes the visualization logic and tests it out, giving you a functional piece of code.

Setup guide

Set up Weights & Biases 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 weights-biases-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 Weights & Biases 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": {
    "weights-biases-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Weights & Biases MCP in Cline

Just tell Cline to set up a new data monitoring dashboard. It handles the multiple steps: first, it runs `list_wandb_projects` to confirm the scope; then, it writes the necessary code using that context.

Yes. You can ask Cline to compare runs across several projects. It'll iterate through `list_project_runs` for each one, consolidating the details via `get_run_details`, and building a unified comparison component.

It does. If you need to reference specific datasets or models, Cline uses `list_project_artifacts`. It'll get the list, write code that consumes those assets, and show you a working example.

Definitely. You can ask Cline to generate reports comparing different hyperparameter settings. It uses `list_project_sweeps` to get the data, then writes a comparison function that uses the raw run details.

Cline works with project metadata, specifically including summary metrics and config. It processes structured ML experiment records when you ask it to build a specific component.

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