"Weights & Biases" matching MCP servers:

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

Query and analyze your Weights & Biases data using natural language through the Model Context Protocol.

An MCP server that enables LLMs to detect cognitive biases and logical fallacies in text, list supported biases, and provide links to relevant psychology tests.

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.

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

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

Tweet scoring using X's actual algorithm weights - 22 signals, 18 filters, 11 tools

Enables auditing scientific papers for methodological biases such as selection bias and p-hacking, and assessing citation credibility and research consensus.

Enables searching, indexing, linking, and downloading 2000+ open-source fonts from fontsource.org, with support for font subsets, weights, styles, variable fonts, and CSS integration.

C++26 paper reference MCP with lookup_paper, fuzzy search, and compiler_status tools over a 216-paper ISO/IEC 14882:2026 corpus. Backs a Claude Code plugin that biases the model toward final-form C++26 idioms (reflection, contracts, std::execution senders, expansion statements, #embed).

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.

MCP server over the open index of 1,562 certification exam blueprints across 217 certifying bodies. Search exams, pull full blueprints (domains & weights, passing scores, prerequisites, renewal), and compare certifications. Read-only, public data, no API key.

Checks a social post against a platform's real character limit before it ships — X bills every URL at 23 characters and weights non-Latin script at 2, while Bluesky and Mastodon count grapheme clusters. Covers X, X Premium, Bluesky, LinkedIn, Threads, Mastodon, and Discord, with no credentials and no network access.

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.

An MCP server for chemistry: it computes molecular weights and isotope distributions from chemical formulae and resolves compound name/formula lookups, backed by NIST atomic-weight data and a cached finder over multiple online and offline sources.

Enables auditing the AI models and SDKs in a repository, drafting evaluation examples, ranking candidates by cost per passing answer, and generating cheapest-first routing configurations, all through read-only local tools that never make network calls. Also estimates monthly token spend and local weights/KV-cache memory so users can pick and size the cheapest model that passes their own tests.

MCP server for deep CNKI academic search, retrieving multi-dimensional data (abstracts, keywords, references, citations, similar papers, keyword weights) and enabling citation network traversal via Playwright-based API interception.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

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.