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Docker's official MCP gateway (the docker mcp CLI plugin): runs servers from the Docker MCP Catalog in isolated containers, manages secrets, OAuth and tool toggles centrally, and gives multiple clients one endpoint. Built into Docker Desktop 4.59+; Docker CE and other setups must build the plugin.

Uses the Qdrant vector database as a semantic memory layer for agents: store information and retrieve it by meaning, connecting to a remote instance or a local path, with FastEmbed generating embeddings by default. Maintained by Qdrant.

HashiCorp's official server: looks up provider, module and policy docs in the Terraform Registry to help write IaC; with an HCP Terraform token it can also manage workspaces, variables and runs. Runs in Docker by default.

Chinese-English translation and word lookup in the terminal: one command shows definitions, phonetics and examples from iCiba, Youdao and an LLM. No API key needed (built-in free LLM proxy), or use any OpenAI-compatible model. Needs Node.js 20+; queries are sent to these online services.

Batch-normalizes audio and video loudness to standards like EBU R128, with presets for podcasts, music and streaming video; handy for evening out course recordings, podcasts and videos before publishing. Needs FFmpeg and Python 3.10+.

A plugin marketplace with dozens of plugins: an enhanced skill-creator, scrapers for Bilibili, Douban and Feishu docs, China A-share news and US stock fundamentals, WeCom notifications, deep research and fact-checking, with docs in English and Chinese.

Connects LLMs to ROS and ROS 2 robots: publish and subscribe to topics, call services and actions, set parameters, and read sensor and robot state, without changing robot code. The robot side needs rosbridge running.

Builds conference talks, lab meeting decks, defenses, lectures and grant reports to academic norms: assertion-style titles, slides ordered by the argument, one cited chart per results slide, and a closing conclusions slide. Pair with Anthropic's pptx skill; on claude.ai, enable code execution.

Lets Claude Code watch videos: extracts frames with ffmpeg and transcribes timestamped audio from local files or YouTube links, to review footage, summarize lectures or find on-screen text. Needs Node.js 20+ and ffmpeg (yt-dlp for YouTube); transcribe with local Whisper or a Gemini/OpenAI key.

Manages a Microsoft 365 tenant with one m365 command: SharePoint, Teams, OneDrive, Outlook, Planner, Power Platform and more, with JSON output and JMESPath filtering. An open-source PnP community project, not officially supported by Microsoft; register an Entra app before signing in.

Learning plugin for students and self-learners: /learn a topic to get a first-principles knowledge graph; it quizzes you before explaining, a separate agent blind-grades your free recall, and /review schedules FSRS spaced repetition. Progress stays local as JSON; needs Python 3.

Two-stage paper skills: planning studies the style of your target preprint server (e.g. PhilArchive, arXiv), finds gaps in the literature and scores a seven-dimension mock review; writing drafts and checks each chapter from the outline. Suits philosophy and interdisciplinary work; needs Python 3.

Turns a paper (arXiv link or PDF) into method diagrams, slides with a generated image per page (PPTX/PDF export) and an in-depth HTML explainer with formulas, for lab meetings and lectures. No API key; images use Codex's built-in generator or, in Claude Code, a separate image skill.

Gives agents controlled access to MySQL: list databases and tables, inspect schemas and sample data, and run SQL, with multi-database mode, SSL and SSH tunnels. Configure your own database user, ideally with least privilege.

Two companion skills: /tutor-setup turns PDFs, lecture notes or a codebase into an Obsidian study vault with concept notes and practice questions, and /tutor quizzes you with multiple-choice questions on weak spots and tracks mastery. For students reviewing or self-studying; best viewed in Obsidian.

Local transcription that's compatible with the OpenAI Whisper CLI but faster and lighter: outputs SRT/VTT subtitles or text and can transcribe a live microphone. Needs Python; models download on first run; speaker labels need pyannote.audio and a Hugging Face token.

Jupyter's official tool for notebook assignments: once teachers mark up questions and solutions, the CLI generates student versions, collects submissions, auto-grades and produces feedback. Suits programming and data courses. Needs Python and Jupyter; assignments must use nbgrader's markup.

Local LLM-powered document translator for PDF, Word, Excel, EPUB, SRT subtitles and more; Word and Excel keep their formatting, glossaries can be built automatically, and agents can submit jobs via MCP. Needs uv and an OpenAI-compatible API key; translated PDFs lose the original layout.

Turns books, PDFs, slides, Word files and web pages into a traceable knowledge base and an offline interactive study page with core frameworks, a glossary, a concept map, self-tests and local notes, keeping source text apart from model additions. Needs Python 3.10+.

Web search and page reading for agents through a self-hosted or trusted SearXNG metasearch instance, with no paid search API key. Requires a SearXNG instance with JSON output enabled.

Pulls new papers from Hugging Face Daily Papers and arXiv, scores them by research area into a recommendation page, and writes deep-read Obsidian notes for key ones; can also batch-read Zotero collections. Needs Python 3, Obsidian and poppler; copy the whole skills folder per the README.

Turns a paper (title, DOI, arXiv ID or local PDF) into a structured Obsidian note covering the research question, method, key formulas, figures and limitations; can read local Zotero items first and includes a glossary-card skill. Needs Python 3.10+ and PyMuPDF.

LangChain's official skill collection: framework selection, quickstarts, middleware, persistence, human-in-the-loop approval, RAG and eval design across LangChain, LangGraph and Deep Agents, in Python and TypeScript. Also installable as a Claude Code plugin. Still in early development.

MathWorks' official toolkit for reading, building, modifying and testing Simulink models via the MATLAB MCP server, with skills for control design, Simscape, code generation and compliance checks. Needs licensed MATLAB R2023a+ and Simulink; run the official installer in MATLAB first.