Herramientas

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.

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.

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.

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.

Plugin marketplace from obra, author of Superpowers: includes the superpowers engineering workflow, episodic-memory for searching past sessions, superpowers-chrome for browser control, elements-of-style writing guidance and more.

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.

Breaks a rough explanation idea into a scene-by-scene storyboard, then writes animation code following best practices for Manim Community or 3Blue1Brown's ManimGL, for math and physics explainers in class demos and educational videos. Needs Python, FFmpeg and LaTeX installed locally.

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+.

Microsoft's official local MCP server for creating and editing Power BI semantic model tables, measures and relationships in natural language, running and validating DAX queries, and bulk renaming and translation. Connects to Power BI Desktop, Fabric or PBIP files; in public preview.

A Zotero 7 plugin with a built-in MCP server: agents search your local library (title, author, tags, full text), read PDF full text, abstracts, notes and highlights, and create notes and tags. Needs Zotero desktop with the plugin enabled; semantic search needs OpenAI or Ollama embeddings.

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.

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.

Connects Rhino 8 and Grasshopper to agents: model in plain language, edit geometry and layers, measure areas and volumes, and build Grasshopper definitions, for architecture and product design. Install the rhinomcp plugin in Rhino, run mcpstart, and have uv installed. Unofficial (not McNeel).

Plain-text spaced repetition: Q&A and cloze cards live in Markdown files, agents can draft decks from notes or textbooks and validate them with hashcards check, and hashcards drill runs FSRS reviews in your browser. Install with cargo or grab a macOS, Linux or Windows release.

Tencent CloudBase's official toolkit: lets agents sign in to CloudBase, work with document and PostgreSQL databases, cloud functions, storage and static hosting, and deploy web and Mini Program apps. Run locally via npx or connect the remote MCP; needs a CloudBase environment.

Tencent CloudBase's official plugin, bundling cloudbase-mcp, skills and hooks for cloud functions, NoSQL and PostgreSQL databases, cloud storage, cloud hosting, authentication and WeChat Mini Program backends. Works with Claude Code and Codex.

Lets agents query Google Ads accounts, campaigns and performance data with GAQL; currently read-only tools only. Maintained by Google; needs Google Cloud credentials and Google Ads API access.

Connects agents to MongoDB and Atlas: query, aggregate, inspect collection schemas and indexes, and manage Atlas clusters, projects and database users. Maintained by MongoDB; needs a connection string or an Atlas service account; supports read-only mode.

Atlassian's official hosted remote MCP: access Jira, Confluence, JSM, Bitbucket, Loom and more with OAuth or an API token. Works with Atlassian Cloud sites only.

Atlassian's official plugin: connects the cloud Atlassian MCP to search and create Jira issues, read and write Confluence pages and manage sprints, with skills that turn meeting notes into tasks and generate status reports. Needs an Atlassian Cloud account with OAuth or an API token.

Connects the QGIS desktop GIS to Claude: create and save projects, load vector and raster layers, run Processing toolbox algorithms, export maps and execute PyQGIS code through chat. Needs QGIS 3 and uv; download the repo, copy the plugin into QGIS's plugin folder and start the server.