Bring Machine Learning
to VS Code Copilot
Create your Vinkius account to connect Weights & Biases to VS Code Copilot and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Weights & Biases MCP Server?
Connect your Weights & Biases (WandB) account to any AI agent and manage your machine learning experiments through natural conversation.
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
How it works
- Subscribe to this server
- Enter your WandB API Key and optional Base URL
- Start managing your ML experiments through Claude, Cursor, or any MCP-compatible client
No more manual browsing through complex experiment dashboards to check model performance. Your AI agent becomes your ML research assistant.
Who is this for?
- Machine Learning Engineers — monitor model training progress and compare hyperparameters across multiple runs
- Data Scientists — track data lineage and manage versioned artifacts for reproducible research
- Research Teams — collaborate on experiment reports and monitor shared project sweeps through chat
- AI Developers — quickly surface model metrics and experiment summaries for faster development cycles
Built-in capabilities (6)
Retrieves full details for a specific W&B run, including summary metrics and config
Lists all artifacts (datasets, models, etc.) in a project
Lists all saved analysis reports in a project
Lists all experiment runs within a specific W&B project
Lists hyperparameter search sweeps within a project
Lists all projects within a Weights & Biases entity (user or team)
Why VS Code Copilot?
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.
- —
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
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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
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Weights & Biases in VS Code Copilot
Why run Weights & Biases with Vinkius?
The Weights & Biases connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Weights & Biases using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Weights & Biases and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Weights & Biases to VS Code Copilot through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Weights & Biases for VS Code Copilot
Every request between VS Code Copilot and Weights & Biases is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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