Tools

A three-stage workflow for math modeling contests like MCM/ICM and CUMCM: analysis, solving and plotting in Python or MATLAB, and a Word (optionally LaTeX) paper, with stage-check subagents and OpenAlex plus AnySearch literature search. Generated papers are for reference only.

Multi-engine web search MCP with no API key, supporting Bing, DuckDuckGo, Brave, Baidu, Sogou, CSDN, Juejin and more; also fetches page content, CSDN articles and GitHub READMEs. Ships a CLI and a local server too.

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.

Command-line reference and bibliography manager: add papers by DOI with metadata fetched automatically, search by author, title or tag, and import or export BibTeX. Each entry is a readable YAML file that agents can read and write easily; a web UI is included. Needs Python.

Generates product shots, marketing posters and illustrations, removes or swaps backgrounds, upscales and makes videos, with 1,400+ prompt templates and parallel variations. Cloud use needs a MeiGen account and paid credits; the npm version can use OpenAI-compatible APIs or local ComfyUI.

From Harvard Medical School's Zitnik Lab: one MCP connecting 1,000+ scientific tools and databases for drugs and targets, genes and proteins, clinical trials, FDA data and PubMed, for biomedical and drug research. Runs with uv; some sources need API keys; medical conclusions need expert review.

Lets agents read and write your local Obsidian vault directly: search notes, append to daily notes, tidy tags and properties, and summarize reading or research notes by topic. No need to open Obsidian or install plugins; access is limited to the vault and can be read-only. Needs Node.js 20+.

Econometrician Pedro Sant'Anna's academic Claude Code setup (fork the repo to use it): Beamer/Quarto lecture slides, paper review and mock refereeing, R/Python analysis and replication packages, with specialist subagents and quality gates. Needs Git and Python; slides need XeLaTeX and Quarto.

From product photos and a brief, plans a full e-commerce visual set (main images, Amazon/Shopify detail pages, social promos, livestream scenes) with briefs and image prompts, using 25 scene templates and a consistent style. Renders with an OpenAI-compatible image API key; needs Python 3.10+.

Figma's official CLI that links Figma design-system components to real components in your code, so Dev Mode and the Figma MCP show production snippets instead of generated examples. Needs Node.js 18+, a Figma Organization or Enterprise plan, a full Design or Dev Mode seat and an access token.

Reads and writes Obsidian vaults from the terminal: search, view, create, edit, move and delete notes, and manage frontmatter and daily notes, without Obsidian running. Good for agents maintaining a personal knowledge base. Formerly Obsidian CLI.

Web search through DuckDuckGo plus fetching and parsing page content, with built-in rate limiting and LLM-friendly result formatting. No API key needed; runs with a single uvx command.

Brings the Brave Search API to agents: web, news, image, video and local business and place search, plus LLM-ready page context and AI summaries. Maintained by Brave; needs an API key.

User research skill: drafts research plans, screeners and interview guides, and turns transcripts into reports with coding tables, personas and priorities, no account needed. AI-moderated interviews, surveys and recruiting real or synthetic participants need a Cookiy AI account, billed per use.

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.

Motion design skill built on the ideas of design engineers Emil Kowalski, Jakub Krehel and Jhey Tompkins: builds animated UI components for your project type, or audits existing animations in an HTML report with looping demos. Use in a coding agent on a local frontend project.

Self-hosted open-source platform for contract and legal document analysis: detects cited laws and builds a citation graph, and its MCP server lets agents search the corpus, read texts and annotations, and follow citations. Deploy your own instance with Docker; have a lawyer review results.

Audio plugin suite: transcription with local Qwen3-ASR or Whisper (MLX on Apple Silicon), speaker diarization, transcript correction, structured meeting notes and StepFun TTS. StepFun ASR and TTS need an API key.

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.

Self-hosted engine that maps lab results, checkup reports and wearable data to standard metrics so agents can chart trends, citing the source file for every number. uvx mirobody mcp gives the coding tools; full records need Docker and an LLM API key. A doctor should review results.

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.