Empowers natural language querying and analysis of Weights & Biases data through the Model Context Protocol.
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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.
主な機能
01Natural language querying of W&B runs, metrics, and experiments
02Programmatic creation of W&B reports
03Flexible deployment options: hosted server, local development, or self-hosted HTTP server
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05Analysis of LLM traces and evaluations
06Integration with popular AI assistants and development environments (e.g., Cursor, Claude, OpenAI, VSCode)
ユースケース
01Analyze machine learning experiments and performance metrics using natural language.
02Debug LLM traces and evaluate model behavior.
03Generate W&B reports comparing model decisions and performance.
