Weights & Biases MCP Server for Windsurf 6 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Weights & Biases through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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{
"mcpServers": {
"weights-biases": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Weights & Biases tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 6 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your 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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Weights & Biases MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Weights & Biases
Open Cascade and ask: "Using Weights & Biases, help me..." — 6 tools available
Why Use Windsurf with the Weights & Biases MCP Server
Windsurf provides unique advantages when paired with Weights & Biases through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 6 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Weights & Biases + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Weights & Biases MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Weights & Biases and generate models, types, or handlers based on real API responses
Live debugging: query Weights & Biases tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Weights & Biases and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Weights & Biases data with Cascade's code generation to scaffold entire features in minutes
Weights & Biases MCP Tools for Windsurf (6)
These 6 tools become available when you connect Weights & Biases to Windsurf 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 Windsurf
Ready-to-use prompts you can give your Windsurf 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 Windsurf
Common issues when connecting Weights & Biases to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Weights & Biases + Windsurf FAQ
Common questions about integrating Weights & Biases MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Weights & Biases with your favorite client
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Connect Weights & Biases to Windsurf
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.