Cursor AI Agent Skills

Use when developing WordPress block themes: theme.json (global settings/styles), templates and template parts, patterns, style variations, and Site Editor troubleshooting (style hierarchy, overrides, caching).

Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

An MCP (Model Context Protocol) server for IPLocate.io - providing comprehensive IP address intelligence including geolocation, network information, privacy detection, and abuse contacts. This MCP server provides tools to look up detailed information about IP addresses: - Geolocation: Country, city, coordinates, timezone, postal code and more - Network Information: ASN name, number, type, network

This repository is an example of how to create a MCP server for Qdrant, a vector search engine. An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database. 1. qdrant-store - Store some information in the Qdrant database - information (string): Information to store - metadata (JSO

MCP (Model Context Protocol) server that brings deterministic tech stack recommendations to LLM clients like Claude, Cursor, Windsurf, and other MCP-compatible tools. Try it free — 8 tools work without an account, including a daily demo recommendation and MCP project kit. Add to ~/Library/Application Support/Claude/claudedesktopconfig.json (macOS) or %APPDATA%\Claude\claudedesktopconfig.json (Wind

An MCP (Model Context Protocol) server that brings authoritative US legal information into AI coding environments like Cursor and Claude Desktop. - 🆓 No API Keys Required – Works out of the box (optional keys for enhanced access) - 📜 Comprehensive Sources – Congress, Federal Register, CourtListener - ⚡ Easy Setup – One-click install in Cursor or simple manual setup - 🔍 Multi-Source Search – Sea

All servers: 100 vendors, US region, individual plans, stateless, no auth, 100 req/min. Start local dev server: In a separate terminal: Use workflow endpoints when you want one request to return: - decision classification (yes | no | tie) from /api/decide - policy result from the relevant notary endpoint - recommended Zendesk action + tags + private note with requestid - POST https://refund.decide

The Model Context Protocol (MCP) is an open standard that enables seamless integration between AI assistants and external tools and data sources. Think of it as a universal adapter that lets AI assistants like Claude, Cline, and Cursor connect to specialized analysis servers. This server enhances AI assistants with deep architectural analysis capabilities, enabling intelligent code generation, dec

next-devtools-mcp is a Model Context Protocol (MCP) server that provides Next.js development tools and utilities for coding agents like Claude and Cursor. - Node.js v20.19 or a newer latest maintenance LTS version - npm or pnpm Install the MCP server for all your coding agents: Add -y to skip the confirmation prompt and install to all detected agents already in use in the project directory. Add -g

Verify any company's legal identity in one question. Look up LEI codes, validate counterparties, and trace corporate ownership structures using the official GLEIF database. Covers 2.8M+ entities across 200+ jurisdictions. 29 tools for LEI lookup, entity search, BIC/SWIFT cross-referencing, corporate ownership, and batch validation. Works with Claude Desktop, Claude Code, Cursor, VS Code, Windsurf,

An MCP (Model Context Protocol) tool that provides stock market data and trading capabilities using the yfinance library, specifically adapted for Claude Desktop. For a detailed guide on setting up and using this tool, check out our Medium tutorial: Tutorial: Using Claude Desktop with YFinance Trader MCP Tool to Access Real-Time Stock Market Data - Real-time stock quotes - Company information and

MCP Server for AI-Powered Product Management Insights Query 269 episodes of Lenny's Podcast directly from Claude Code, Cursor, or any MCP-compatible AI assistant. Installation · Usage · Tools · Examples Lenny's Podcast is a goldmine of product management wisdom from leaders at Airbnb, Stripe, Netflix, and more. This MCP server makes that knowledge accessible to AI assistants—so you can get expert

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

Giving AI coding assistants a memory that actually persists. Watch In Memoria in action: learning a codebase, providing instant context, and routing features to files. You know the drill. You fire up Claude, Copilot, or Cursor to help with your codebase. You explain your architecture. You describe your patterns. You outline your conventions. The AI gets it, helps you out, and everything's great. T

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

MCP server for the musclesworked.com exercise-to-muscle mapping API. Connects Claude Desktop, Claude Code, Cursor, and other MCP clients to 856 exercises and 65 muscles with detailed primary/secondary/stabilizer activation data across 14 muscle groups. Get an API key at musclesworked.com/dashboard. Add to your claudedesktopconfig.json: Or add to .mcp.json: Add to .cursor/mcp.json: - "What muscles

arvo-mcp is a Model Context Protocol (MCP) server that connects your AI assistant to Arvo, an AI-powered fitness coach. Access your workout history, personal records, body composition, and training plans directly from Claude Desktop, Cursor, or any MCP-compatible client. Perfect for fitness enthusiasts who want to: - 🏋️ Ask "What's my workout today?" and get your personalized training plan - 📊 T

Integrate AbacatePay in code or interact directly with the API (list customers, create checkouts, check balance, etc.)

An MCP (Model Context Protocol) server for integration with GitHub Enterprise API. This server provides an MCP interface to easily access repository information, issues, PRs, and more from GitHub Enterprise in Cursor. This project is primarily designed for GitHub Enterprise Server environments, but it also works with: - GitHub.com - GitHub Enterprise Cloud - Retrieve repository list from GitHub En

MCP server for Bitbucket API operations. Works with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client. This repository contains both TypeScript and Python implementations: - Repositories: get, create, delete, list, update (move to project, rename) - Pull Requests: create, get, list, merge, approve, decline, request changes, comments, diff - Pipelines: trigger, get status, list, vi

Spotify MCP Server A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to control Spotify playback and manage playlists. - Example Interactions - Read Operations - Album Operations - Play / Create Operations - Prerequisites - Installation - Creating a Spotify Developer Application - Spotify API Configuration - Authentication Process - Integrating with

Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code. The server provides the following tools: 1. listdocschapters(): Lists all chapters in the Typst documentation. - Lets the LLM

LLMs rely on outdated or generic information about the libraries you use. You get: - ❌ Code examples are outdated and based on year-old training data - ❌ Hallucinated APIs that don't even exist - ❌ Generic answers for old package versions Context7 MCP pulls up-to-date, version-specific documentation and code examples straight from the source — and places them directly into your prompt. Add use con

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence.