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Before tool calls run, blocks destructive Git and file commands (git reset --hard, rm -rf) and access to sensitive files like SSH keys and .env. Parses command semantics, so bash -c wrappers are caught too. Works with Claude Code, Codex and other coding CLIs; needs Node.js 18+.

Epic Games' official plugin: Claude Code drives the Unreal Editor via MCP with 30+ toolsets covering Actors, Blueprints, materials, Niagara, Sequencer, UMG and automated tests, plus skills and session hooks. Enable the ModelContextProtocol and AllToolsets plugins and start the MCP server.

MathWorks' official server that lets agents start your local MATLAB, write and run scripts and unit tests, and check code style and potential errors, for computing, simulation and data analysis. Needs a licensed MATLAB R2021a+ and the downloaded server binary.

Recommends daily papers from arXiv and Semantic Scholar by research interest, reads them and writes illustrated Obsidian notes and a paper graph; can also search venues like CVPR and NeurIPS. Needs Python 3, Obsidian, a vault path and an interests config; the web app needs an Anthropic API key.

Lets agents drive WinDbg's CDB/KD to analyze crash dumps, debug user-mode processes remotely and debug kernels, and triage many dumps in a batch. Windows only; requires WinDbg or Debugging Tools for Windows.

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.

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.

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.

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.

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.

Connects agents to live Jupyter notebooks: read, write, insert and execute cells and read multimodal outputs like charts, for interactive data analysis. Bring your own JupyterLab or JupyterHub; open source, maintained by Datalayer.

MathWorks' official toolkit: set up the MCP server via the MATLAB installer so agents can run code, run tests and do static checks; domain skill sets for signal processing, controls, statistics and machine learning install as Claude Code plugins. Needs MATLAB R2021a+.

The standard machine translation scorer: computes BLEU, chrF and TER with significance tests and downloads public test sets such as WMT, to compare engines or prompts. Needs Python 3.9+ and reference translations; automatic metrics are a rough screen, so final copy still needs human review.

Unity's official game development skills: new projects, migrating to URP and post-processing, Tilemaps and sprites, UI Toolkit, in-app purchases, multiplayer services and voice chat, audio optimization and more. Many skills drive an open Unity Editor directly through the Unity CLI.

Pre-submission review for CS conference papers (CVPR, ACL, NeurIPS and more): polish, translate or condense on request, or let AI reviewers raise issues and a jury rule on them. Only wording fixes are drafted, with your approval; missing experiments go back to you, never invented. Needs Node.js.

Skills Sentry's engineering team uses itself: code review, bug finding, security review, writing commits and PRs, and iterating on a PR until CI passes. Maintained by Sentry; some skills follow its internal conventions.

Turns ComfyUI workflows into MCP tools with no code, covering generation and conversion across text, image, speech and video; works with local ComfyUI or RunningHub in the cloud. Start the server with uvx pixelle and configure an LLM first.

ComfyUI's official CLI: install and launch ComfyUI in one step, manage custom nodes and model downloads, and run image and video workflows, with --json output on every command for agents. Can also submit jobs to paid Comfy Cloud.

Graph database MCP server from Neo4j Labs: reads the graph schema and runs read and write Cypher queries, with read-only mode, query timeouts and response token limits. Needs a Neo4j instance with the APOC plugin enabled.

Lets agents create pixel art and frame animations in Aseprite: drawing, layers, palettes, dithering, outlines and onion-skin previews, with PNG, GIF and sprite sheet export, for game art and pixel illustration. Needs Aseprite, Python 3.13 and uv; runs from source.

250+ human-reviewed legal skills from practicing lawyers, in-house counsel and academics, mostly US and EU law: compliance, GDPR, legal research, litigation, contract review and drafting, the EU AI Act. Install all or pick one; output is a draft for a lawyer to review.

Jina AI's official remote MCP: converts web pages and PDFs to Markdown, searches the web, arXiv, SSRN and images, and offers screenshots, reranking and semantic dedup. Reading tools work without a key (rate-limited); search and rerank need a Jina API key.

Two parts: an API server on Kali Linux and an MCP bridge, letting agents run nmap, sqlmap, Metasploit, Hydra and other tools, or arbitrary terminal commands, for authorized penetration testing and CTFs. Available in Kali's official repositories.

Unbabel's machine-translation quality metric: comet-score rates translations per sentence and overall, XCOMET marks error spans and severity, and CometKiwi works without a reference. Good for spot-checking MT. Needs Python 3.8+; models download from Hugging Face, some need a license; GPU helps.