Herramientas

Searches Airbnb listings and fetches details: filter by location, dates, guests, price and property type, and get amenities, house rules, location and direct links. No API key; runs locally via npx and respects robots.txt by default.

Lets agents work with Anki flashcards: review due cards and grade them, create cards in bulk, manage tags, media and note types, and view study stats. Needs Anki Desktop with the AnkiConnect add-on; still in beta.

Uses yt-dlp to pull YouTube subtitles into the agent, so asking it to summarize a video gets you the key points; handy for teachers prepping lessons, researchers and creators. No API key, but needs yt-dlp (Homebrew or WinGet) and Node.js.

Post-draft polishing skills for English LaTeX papers, Chinese theses (GB/T 7714) and Typst manuscripts: compile diagnostics, format and grammar checks, reference verification, reviewer-style assessment, cover letters and defense slides. Needs Python, uv and TeX Live; academic use only.

Official HeyGen skill: translates existing videos into 175+ languages with dubbing that clones the speaker's voice and re-syncs lips; you can proof subtitles before rendering. Needs a HeyGen account with credits and an API key plus HeyGen CLI, or the HeyGen MCP.

MCP server for the Lean 4 theorem prover: lets agents read proof goals, diagnostics and definitions and search theorems via LeanSearch and Loogle, helping mathematicians and students with formal proofs. Needs uv and the Lean toolchain; run it from the Lean project root.

68 trading and quant skills focused on crypto and DeFi: market and on-chain data, technical indicators, backtesting, position sizing and risk, prediction markets, and tax tools for cost basis and wash sales. Most need Python and data API keys (often free tiers); get expert review.

Connects Stata to VS Code or Cursor and exposes a local MCP endpoint so Claude Code or Codex can write and run do-files and read regression output, with graphs shown in the editor; for empirical research. Needs a licensed Stata 17+, the extension installed and the editor open.

Third-party LSP plugin marketplace with 30+ language server plugins, including TypeScript, Python, Rust, Go, Java, C/C++, Vue, Svelte, Elixir and Haskell, covering more languages than the official set. Requires Claude Code 2.1.50+; install the language servers yourself.

Official Firebase skills: CLI and project setup, Authentication, Firestore, Hosting and App Hosting, Data Connect, Remote Config, Crashlytics, AI Logic, and writing and auditing security rules. Most use the Firebase CLI and need a Firebase project.

Official Firebase skill: install and sign in to the Firebase CLI, create and switch projects, download app config files such as google-services.json, and set up the other Firebase skills for Auth, Firestore, Hosting and more.

Adds /learn commands to 30+ agents including Claude Code, Codex and Cursor: knowledge maps, layered Socratic explanations, quizzes and spaced review, with a visual learning dashboard. Geared to self-study of programming and other technical topics; needs Node.js 20+.

Notion's official Claude Code plugin: bundles Notion's hosted MCP with four Cookbook skills (knowledge capture, meeting prep, research write-ups, spec to implementation) and slash commands for searching, creating pages, querying databases and creating tasks. OAuth sign-in.

Semantic search over past Claude Code, Codex and other agent sessions: indexes each conversation when it ends and recalls past discussions, decisions and trade-offs via MCP tools and a subagent. Embedding and search run locally. By the author of Superpowers.

Google Maps for agents: place search and details, forward and reverse geocoding, routes, distance matrices, multi-stop optimization, weather and static maps, plus trip planning and local SEO ranking skills. Needs Node.js and a billing-enabled Google Maps Platform API key; calls may cost money.

Open-source European e-invoicing tool whose CLI validates, extracts and creates ZUGFeRD, Factur-X and XRechnung invoices (PDF or XML) and renders XML invoices as readable HTML or PDF, for EU invoicing compliance. Needs Java; download the Mustang-CLI jar from the project site.

AI agents collaborate via the ADDIE instructional design model: enter a course name to get a syllabus, LaTeX slides, lecture scripts and assessments, convertible to editable PPTX. Open-source code for an EACL 2026 paper; needs an OpenAI API key, LaTeX for PDFs and Node.js for PPTX.

Official Tavily skills: let agents search the web, extract page content, discover site URLs, crawl in bulk and run cited deep research through the Tavily CLI (tvly). Install the CLI first; search and extract have a limited no-login tier, other features need sign-in or an API key.

Lets agents work with Salesforce orgs authorized on your machine: SOQL queries, metadata deploy and retrieve, Apex test runs and permission set assignment, plus toolsets for LWC development. Maintained by Salesforce; authorize your org with the Salesforce CLI first.

Lean 4 theorem-proving plugin with workflows to draft, formalize, prove, disprove, review and golf proofs, plus mathlib search, axiom checks and safety guardrails, helping mathematicians and teachers produce machine-checked proofs. Needs Lean 4 and mathlib; pairs well with lean-lsp-mcp.

Write a script, speakers and visuals in MulmoScript (JSON or YAML) and the mulmo command generates narration and images and assembles a video, podcast, slide deck or PDF, for explainer videos. Needs Node.js, FFmpeg and an OpenAI API key; other providers optional.

Microsoft Teams MCP open-sourced by Inditex: read messages in a set channel, start threads, reply and @mention members, and list members. Requires an Azure app registration and a Teams bot (usually with IT admin help); runs via Docker or Python 3.12 with uv.

Astronomer's official data engineering plugin: write Airflow DAGs to best practices, debug pipeline failures, trace data lineage, profile warehouse tables and migrate from Airflow 2 to 3, with a built-in Airflow MCP server and session hooks.

Research guardrails for PhD students: reproduce arXiv papers, debug training anomalies with evidence, compare runs at matched epochs, check paper-code consistency, verify BibTeX, find literature gaps and predict reviewer comments. No MCP or extra dependencies; mostly for ML research.