How to Use the Weights & Biases MCP in Claude

Q: How do I list all available projects for Weights & Biases in Claude Desktop?

You just call listwandbprojects. It scans your entire entity and spits out a clean list of every project you have set up. It's quick and easy.

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Connect Weights & Biases MCP to Claude Desktop

Create your Vinkius account to connect Weights & Biases to Claude Desktop 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 Claude Desktop

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Check Experiment Details in Claude Desktop

The `get_run_details` tool lets you pull up everything about a specific Weights & Biases run. You get the summary metrics and all the config data—it’s a full picture of how that experiment went. You can also use `list_project_runs` to see every other run in a project, or check out `list_project_sweeps` if you were testing multiple hyperparameters.

Manage Project Artifacts via MCP Server

Need to know what models and datasets live in a project? Just call `list_project_artifacts`. This tool pulls a list of everything saved in your Weights & Biases space. If you're done with the data, you can use `list_project_reports` to see all those analysis reports that were generated for that project.

See All Your Projects in Claude Desktop

Using `list_wandb_projects`, your agent can list every single project under your Weights & Biases account. This is great if you're trying to figure out where a specific model came from. Want to focus on one area? You can use `list_project_details` along with `get_run_details` to narrow down exactly what you need.

Setup guide

Set up Weights & Biases MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Weights & Biases MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Weights & Biases MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under weights-biases-mcp.

json

{
  "mcpServers": {
    "weights-biases-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 Weights & Biases. 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 Weights & Biases MCP in Claude Desktop

It uses the MCP Server standard. When your agent runs a tool, it connects directly to the Weights & Biases API endpoints defined in the server. You don't need to mess with auth headers manually; the connection handles that.

Yeah, you can feed the results directly into your chat session. For instance, running `list_project_reports` gives you structured text about analysis findings that your agent can summarize right in the window.

This server deals with machine learning metadata: project configurations, run metrics, and artifacts. It doesn't handle raw user PII or financial transactions—it tracks the experiments themselves.

Yes. When using the Desktop App, you can configure the connection to run as a subprocess on your machine, giving it access even if Weights & Biases isn't cloud-native.

You just call `list_wandb_projects`. It scans your entire entity and spits out a clean list of every project you have set up. It's quick and easy.

Use it with your favorite AI tools

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