Tools

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.

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.

Lets agents create, move and scale components in SketchUp, set material colors, read scene info, export models and run Ruby scripts, for quick massing models. No prebuilt package: pack the extension as .rbz, install it in SketchUp and start the server; needs uv.

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.

Appium's official MCP server: lets agents start sessions on Android and iOS emulators and real devices, locate elements, tap, type and take screenshots, and generate Java/TestNG test code. Needs the Android SDK or Xcode.

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.

IFClite's built-in MCP server: lets agents query and modify IFC models, run clash detection, IDS validation, version and quantity diffs, export CSV, GLB and more, and color or isolate elements in a browser 3D view. Just Node.js and an IFC file; read-only mode available.

CLI for the open-source IFClite BIM toolkit: inspect models, query element properties, build door and window schedules, validate against IDS, run clash detection, diff versions, merge and convert, with JSON output; ifc-lite mcp lets agents query and edit BIM data directly. Needs Node.js.

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.

Drive Autodesk Revit with AI: query elements, create walls, doors, windows, floors, grids, levels and rooms, tag in bulk and take material quantities. Needs Revit 2020-2026 on Windows and Node.js, with the plugin from Releases placed in the Revit add-ins folder.

Browser automation MCP built on Selenium WebDriver for Chrome, Firefox, Edge and Safari: locate elements, click and type, upload files, take screenshots, run scripts, and handle alerts and cookies. A good fit for test teams already using Selenium.

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.