Herramientas

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.

dbt Labs' official skills: write and edit dbt models, add unit tests and docs, set up the MetricFlow semantic layer, debug failed jobs, and handle dbt version upgrades and cross-platform migrations. Most skills need dbt installed and an existing project.

dbt Labs' official plugin marketplace with dbt and dbt-migration plugins: write models and unit tests, build semantic-layer metrics, govern with dbt Mesh, debug failed jobs, and handle version upgrades and cross-platform migrations. Most skills need an existing dbt project.

A research plugin for Claude Code: commands like /omp:survey, /omp:experiment and /omp:write chain literature review, topic selection, experiments, writing and self-review, with 5 specialized agents and 34 research skills that remember project progress across sessions. Experiments lean toward ML.

Stock analysis MCP for individual investors: quotes via yfinance, technical indicators such as RSI and MACD, screening strategies, a portfolio tracker and a trade journal. Core tools need no API key; backtesting and deep-research extensions are optional.

The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.

Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker.

Official SonarSource server: connects to SonarQube Server or Cloud so agents can query code issues, quality gates, security hotspots and dependency risks, and analyze file contents directly. Needs a SonarQube token; Docker is the recommended way to run it.

Official Firecrawl skill: drives the Firecrawl CLI to search, scrape, map site URLs, batch-crawl, interact with pages and monitor changes, returning LLM-ready Markdown. Search and scrape have a rate-limited free tier; crawling and monitoring need an account or self-hosted instance.

Firecrawl's official CLI: scrape, search, map and crawl sites and interact with pages in a browser from the terminal, with Markdown output; can also install companion skills for coding agents. Needs a Firecrawl account or API key, or point it at a self-hosted instance.

Searches about 30 biomedical sources, including PubMed, ClinicalTrials.gov, ClinVar and OncoKB, with one command syntax, covering literature, clinical trials, genetic variants, drugs and pathways. Ships as both a CLI and an MCP server.

Anthropic's official life sciences plugin marketplace: install MCP plugins such as PubMed, BioRender, Synapse, ChEMBL and 10x Genomics, plus research skills for single-cell RNA QC, Nextflow pipelines and scvi-tools. Some data sources need an account or subscription.

Lets AI draw lines, create layers, insert blocks, add dimensions and export DXF or PDF in AutoCAD LT, for batch edits. Needs AutoCAD LT 2024+ on Windows, Python and uv; after cloning, load the bundled LISP script with APPLOAD. Can also generate DXF headlessly without AutoCAD.

Redis's official MCP server: read and write strings, hashes, lists, streams, JSON and other data structures in natural language, with vector indexing and search and pub/sub. Bring your own Redis instance; runs via uvx.

Lets agents read dbt project models, lineage and Semantic Layer metrics, run build, run and test commands, and call the dbt platform Discovery and Admin APIs. Maintained by dbt Labs; Semantic Layer and platform tools need a dbt platform account.

Official DuckDB skills: query local or S3 CSV, Parquet, Excel and JSON files with SQL or plain language, attach databases, convert formats, analyze spatial data and look up documentation. Needs the DuckDB CLI; tested only on macOS and Linux.

Elastic's official skills teaching agents to use Elasticsearch and Kibana correctly: index design, ES|QL queries, search relevance tuning, dashboards, observability troubleshooting and security alert triage. Currently a technical preview.

Chroma's official MCP: lets agents create and manage collections, add documents, and retrieve them with vector search, full-text search and metadata filters. Connects to in-memory or local persistent stores, self-hosted instances or Chroma Cloud.

Official ClickHouse skills: best practices for schema design, primary keys, JOINs and inserts ranked by impact, advice on real-time architecture decisions, in-process SQL and pandas-compatible analysis with chDB, and local and cloud deployment workflows.

Official ElevenLabs skills: text to speech, speech to text, sound effects and music generation, voice changing, vocal isolation, multilingual dubbing and building voice agents. Needs an ElevenLabs API key.

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.

Explore and analyze local KiCad projects in natural language: inspect schematic connections, export BOMs, run DRC checks, render PCB previews and recognize common circuit patterns. Needs KiCad 9+, Python 3.10 and uv; clone and install, set your project directory in .env, then register it.

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.

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.