Herramientas

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.

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.

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.

Google's official security MCP servers for Google SecOps (Chronicle), SecOps SOAR, Google Threat Intelligence and Security Command Center: investigate alerts, hunt threats, look up IOCs and review cloud risks. Needs Google Cloud credentials or a VirusTotal API key.

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.

Lets agents query Prometheus metrics with PromQL and browse metric metadata and scrape targets to help investigate alerts and performance issues. Supports basic auth, bearer tokens and multi-tenancy; Docker is the recommended way to run it.

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.

Lets AI do feature-based modeling in SolidWorks: sketches, extrudes, sheet metal, assemblies and drawings, exporting STEP, DXF or PDF, and can rebuild 3D parts from DXF/DWG drawings. Needs Windows, SolidWorks 2026, a Visual Studio build of the C# layer and a Python adapter; early prototype.

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.

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.

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.

Install the QGIS MCP plugin from the QGIS plugin repository and agents get 125 tools to manage layers, edit features, run processing algorithms, style maps, build layouts and atlases, and run SQL across layers; supports QGIS 3.28 to 4.x. Needs QGIS and uv; no repo download required.

Official FinLab quant skill: lets agents use FinLab data (mainly Taiwan stocks, plus US, Japan, Korea and Hong Kong) to write stock-picking strategies, run backtests and analyze factors. Needs a FinLab account (free tier has a daily data cap), Python 3.10+ and uv. Not investment advice.

Lets agents run local ComfyUI workflows to generate images, audio and video, regenerate from earlier results with new parameters, check the queue and switch models. Install and start ComfyUI, then clone this repo and run the server with Python (port 9000 by default).

Connects to self-hosted or managed Nextcloud so agents can manage files, calendars, contacts, notes, Deck boards and mail, and read PDF and Word content (OCR for scans is opt-in); suits teams that value data ownership. Needs a Nextcloud account with an app password, and uv.

McNeel's official Rhino MCP: lets Claude, Codex and other agents model, edit and organize layers in Rhino and Grasshopper, for architectural concepts and product forms. Needs licensed Rhino 8 or 9; install Rhino-MCP-Platform from the package manager and connect with MCPConnect.

Official Databricks plugin with skills for the CLI and auth, Genie data queries, Apps, Lakebase, Lakeflow jobs and pipelines, Model Serving and DABs deployment, plus hooks for prompt routing, session context and auth failure hints. Needs a Databricks account.

Official Databricks skills guiding agents to build Lakeflow pipelines and jobs, Apps, Lakebase, Vector Search, Model Serving and AI/BI dashboards on the lakehouse. Needs the Databricks CLI.

Railway's official plugin, bundling the use-railway skill and hosted Railway MCP so agents can create projects, deploy services, set environment variables and databases, and check logs and metrics to debug deployments. Needs a Railway account.

ComfyUI's official MCP: lets agents drive local ComfyUI image and video workflows, list installed nodes, models and templates, submit jobs and fetch results, and start or stop ComfyUI. Needs a machine that can run ComfyUI (usually a GPU) and comfy-cli; partner models consume Comfy credits.

QuantConnect's official CLI drives the open-source LEAN engine locally or in the cloud to download data, backtest and optimize quant strategies and deploy them live. Requires a paid-tier QuantConnect organization; strategies in Python or C#; local runs need Docker. Get expert review.