Can I check the latest metrics for a specific ML run?

Yes. Using the `get_run_details` tool, your AI agent can pull the latest logged metrics (like accuracy or loss) and hyperparameters for any specific run ID within your projects.

Is it possible to list versioned datasets and models?

Absolutely. The `list_project_artifacts` tool allows you to see all artifacts, including datasets and models, helping you track data lineage and versioning directly through conversation.

Can I monitor hyperparameter search sweeps via chat?

Yes. Use the `list_project_sweeps` tool to monitor automated optimization tasks. Your agent will return a list of sweeps in the project so you can track progress without leaving your workspace.

Weights & Biases MCP Server for VS Code Copilot 6 tools — connect in under 2 minutes

Name: Weights & Biases
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 6 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Weights & Biases and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "weights-biases": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Weights & Biases MCP Server

Connect your Weights & Biases (WandB) account to any AI agent and manage your machine learning experiments through natural conversation.

GitHub Copilot Agent mode brings Weights & Biases data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Project Management — List all projects within your WandB entity (user or team) to browse your experiment folders
Run Monitoring — List and track individual experiment runs within a project to monitor real-time activity
Deep Run Analysis — Retrieve full details for any run, including latest accuracies, losses, and hyperparameters
Artifact Management — List versioned datasets, models, and other artifacts to track data lineage and dependencies
Sweep Tracking — Monitor automated hyperparameter search sweeps to see optimization progress
Reports & Collaboration — List saved analysis reports and dashboards to access collaborative documentation

The Weights & Biases MCP Server exposes 6 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Weights & Biases to VS Code Copilot via MCP

Follow these steps to integrate the Weights & Biases MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Weights & Biases

Ask Copilot: "Using Weights & Biases, help me..." — 6 tools available

Why Use VS Code Copilot with the Weights & Biases MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Weights & Biases through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Weights & Biases + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Weights & Biases MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Weights & Biases MCP Tools for VS Code Copilot (6)

These 6 tools become available when you connect Weights & Biases to VS Code Copilot via MCP:

get_run_details

Retrieves full details for a specific W&B run, including summary metrics and config

list_project_artifacts

Lists all artifacts (datasets, models, etc.) in a project

list_project_reports

Lists all saved analysis reports in a project

list_project_runs

Lists all experiment runs within a specific W&B project

list_project_sweeps

Lists hyperparameter search sweeps within a project

list_wandb_projects

Lists all projects within a Weights & Biases entity (user or team)

Example Prompts for Weights & Biases in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Weights & Biases immediately.

"List all runs in my 'transformer-nmt' project for entity 'ai-team'."

"Get the final accuracy and config for run ID 'vibrant-sweep-1'."

"What artifacts are available in the 'resnet-training' project?"

Troubleshooting Weights & Biases MCP Server with VS Code Copilot

Common issues when connecting Weights & Biases to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Weights & Biases + VS Code Copilot FAQ

Common questions about integrating Weights & Biases MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.