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The wandb-mcp-server is the official implementation of the W&B Models and Weave Model Context Protocol (MCP) server, designed to facilitate natural language interaction with your Weights & Biases data. It enables users to query and analyze experiments, LLM traces, and metrics by integrating with various AI assistants and development environments like Cursor, Claude, OpenAI, Gemini, Mistral LeChat, and VSCode. This server acts as an intelligent intermediary, translating natural language prompts into executable actions against your W&B projects, streamlining data analysis and reporting for machine learning workflows.

Características Principales

• Natural language querying of W&B runs, metrics, and experiments
• Programmatic creation of W&B reports
• Flexible deployment options: hosted server, local development, or self-hosted HTTP server
• 1 GitHub stars
• Analysis of LLM traces and evaluations
• Integration with popular AI assistants and development environments (e.g., Cursor, Claude, OpenAI, VSCode)

Casos de Uso

• Analyze machine learning experiments and performance metrics using natural language.
• Debug LLM traces and evaluate model behavior.
• Generate W&B reports comparing model decisions and performance.