"Weights & Biases" matching MCP servers:

Enables LLM agents to query Weights & Biases experiments, including listing projects, runs, metrics, plotting metrics, and retrieving run details.

Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.

An MCP server that lets AI agents create and manage LighterPack packing lists — add gear, track weights, organize categories, and share lists, all through natural conversation.

Audits decisions for cognitive biases through an adversarial framework, exposing tools like analyze_decision, list_biases, and get_bias via MCP.

Read-only access to TrailWeights' ultralight gear corpus — verified weights, creator video reviews, pack templates, and semantic gear search. Auth: none.

Enables AI assistants to connect to a trading journal, analyze performance metrics, identify psychological biases, and receive continuous trading coaching.

Enables querying W\&B Weave traces and creating W\&B Reports with text and visualizations through natural language.

Enables querying authoritative product data from GS1 Brasil's Verified by GS1 API via GTIN, including brand, description, classifications, images, weights, dimensions, and licensee details, with support for national and international bases and batch enrichment.

URL intelligence for AI agents. One URL in, structured security and data quality signals out across 7 dimensions. 13 tools, risk score 0-100 with 23 configurable weights.

A decision structure analysis engine that transforms emotional dilemmas into structured frameworks by identifying variables, constraints, and strategy paths. It helps users evaluate risk distributions and cognitive biases without offering subjective advice or definitive answers.

Enables enhanced decision-making through hierarchical LLM analysis, using three specialized critique agents (positive, neutral, negative) that analyze proposals in parallel and synthesize them into comprehensive, actionable insights. Helps overcome single-model biases by providing multi-perspective evaluation of complex ideas and proposals.

A personal calorie and protein counter MCP server for use inside claude.ai, enabling users to log meals from photos or text, track weight, and view an interactive dashboard.