Herramientas

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.

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).

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.

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.

Community App Store localization skill (not from Apple): uses the asc CLI and an LLM to translate listing copy such as description, keywords, subtitle and release notes into many languages and sync it to App Store Connect. Needs asc set up and authorized; proofread before submitting.

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.

Sentry's official CLI: upload source maps and debug symbols, manage releases, and view issues and logs. Needs a Sentry account or self-hosted instance; a newer official CLI is replacing it, so this repo mainly gets bug fixes.

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.

100+ tools that let agents drive COMSOL Multiphysics: build models, set geometry and physics (heat transfer, fluids, electrostatics, solid mechanics), mesh, solve and export results; the accompanying paper is in Neurocomputing. Needs licensed COMSOL 5.x/6.x, Python and Java; install from the repo.

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.

Runs SQL queries against ClickHouse and browses databases and table schemas, read-only by default; can also enable embedded chDB to query data directly in files and URLs. Maintained by ClickHouse.

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.

Distilled Apple Human Interface Guidelines reference for iOS, iPadOS, macOS, tvOS, visionOS and watchOS, loading the right rules, component specs and measurements per task. Includes a /duo workflow for adapting an iOS app to iPhone Duo and an opt-in enforce mode with independent review.

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.

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.