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Query W&B Weave traces and create visual reports using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Weights & Biases MCP Server" yet — see the docs or source repo.
Query the W&B Weave traces from the last 7 days, summarize the LLM call chains with the highest failure rates by error type, and identify the most common failing step.
A trace failure analysis with error categories, key failing steps, and concise findings.
Create a W&B Report from the current project's Weave traces summarizing how prompt versions affect response quality and latency, including charts and written commentary.
A structured report with visual charts, comparative analysis, and written summary.
Search the Weave traces for requests with unusually high latency, identify patterns tied to specific model versions or input types, and provide troubleshooting suggestions.
An analysis of anomalous request patterns with likely causes and next-step troubleshooting recommendations.
Query and visualize Weights & Biases projects, runs, metrics, and details.
Store, search, and track software decision traces with semantic retrieval.
Inspect, edit, and validate code in a configured Git repository.
Track workouts, monitor streaks, and get personalized fitness coaching in chat.
Connect AI to wger for fitness, nutrition, and weight tracking tasks.
Access session replays, funnels, errors, and performance diagnostics to improve UX.