"Weights & Biases" matching MCP servers:

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.

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 creating and managing packing slips for shipments, tracking cartons, contents, weights, chargeable weight, and shortfalls, with reports and packing slip generation.

Enables comparing and recommending AI models based on scenario-specific criteria such as capability, context, relative cost, and self-hosting, with explanations of the scoring weights.

Enables natural-language management of macOS disk cleanup by scanning large files, AI model weights, and caches, identifying duplicates, and safely moving files to Trash or permanently deleting them with confirmation.

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

MCP server for scanning AI systems and code for demographic, occupational, and geographic biases. Enables CI integration and AI agent-driven bias detection.

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).

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.

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.

Enables MCP clients to query Vectorworks Spotlight fixture data from automatically exported Lightwright XML files, including counts, channels, weights, and plot QC, and to write fixture patch changes back to Vectorworks.

Enables any MCP client to turn layered PSD artwork into game-ready Spine packages by inspecting and classifying layers, rigging with meshes, bones, weights, IK, physics and animation, applying procedural or After Effects-driven FX, and running runtime and mobile-budget validation with preview output. It finishes by exporting the final .spine, JSON and atlas assets so a model can drive a full art pipeline without hand-authoring rig data.

Exposes tools an assistant can call to compute four-pillar and Zi Wei Dou Shu charts, annual and monthly scores, and two-person synastry comparisons. Also back-tests its own past predictions against a user's reported life events, returning hit rate, correlation, the years it got wrong, and refitted weights.

Enables users to record probabilistic judgments in an immutable ledger, automatically score them against outcomes, and analyze systematic biases across six classification layers. It supports natural-language interaction for logging predictions, checking randomness, and auditing data integrity while avoiding advice or replacing user judgment.

A local stdio MCP server that gives assistants soft, customizable rhyme tools: comparing word and phrase rhymes, searching dictionary words by phonetics, ranking and generating English lyric candidates with contextual model scores, and reporting pinned model status. Phonetic tools work without a language model, while generation and contextual ranking optionally use pinned Qwen weights under user-defined rhyme profiles.

Exposes a local simulated two-arm robot to TUI agents through stateful, serialized MCP tools that start trials, return camera images and joint state, jog the arm or move joints within bounded limits, and finish runs with scored metrics and native Inspect log paths. Agents can therefore drive and record robotic manipulation rollouts in Chrome-visible MuJoCo physics without any robot hardware or policy weights.

Enables EVTX (Windows Event Log) analysis via Hayabusa, providing tools to scan event logs and retrieve detection rules.