Cursor AI Agent Skills
AI agent skills designed for Cursor IDE. Custom rules, workspace setup, and Cursor-specific workflows.
252 listings
EVM MCP Server
An MCP (Model Context Protocol) server that provides comprehensive access to Ethereum Virtual Machine (EVM) JSON-RPC methods for AI coding environments like Cursor and Claude Desktop. - 🌐 Any EVM Network – Ethereum, Polygon, Arbitrum, Optimism, BSC, Avalanche, and more - 🔌 Any Node Provider – Infura, Alchemy, QuickNode, local nodes, or custom RPC - 📊 20+ RPC Methods – Complete access to blockch
Quip MCP Server
A Model Context Protocol (MCP) server providing AI assistants with comprehensive Quip document access and management. - Full Document Lifecycle: Create, read, edit, delete Quip documents - Smart Search: Find documents with comprehensive search capabilities - Recent Documents: Access your recently viewed/edited documents - User Management: Get user information and details - Comments: Retrieve and m
CockroachDB MCP Server
The CockroachDB MCP Server is a natural language interface designed for LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates seamlessly with MCP (Model Content Protocol) clients, such as Claude Desktop or Cursor, enabling AI-driven workflows to interact directly with your database. - Cluster Monitoring - Database Operations - Table Management - Query Engin
decide.fyi
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
Openapi MCP
Generate MCP tool definitions directly from a Swagger/OpenAPI specification file. OpenAPI-MCP is a dockerized MCP server that reads a swagger.json or openapi.yaml file and generates a corresponding Model Context Protocol (MCP) toolset. This allows MCP-compatible clients like Cursor to interact with APIs described by standard OpenAPI specifications. Now you can enable your AI agent to access any AP
YouTube transcript — no API key!
Scrape, crawl, search, and extract web data. Converts any website to LLM-ready markdown. Local-first with smart escalation (HTTP → browser → stealth). No API key needed.
MCP Atlassian
Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments. Confluence Demo Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token. Add to your Claude Desktop or Cursor MCP configuration: Ask your AI assistant to: - "Find issues assigned to me in PROJ project" - "Search Confluence for onboar
Copilot MCP Tool
Copilot MCP Tool is an open‑source Model Context Protocol (MCP) server that connects your IDE or AI assistant (Claude, Cursor, etc.) to GitHub Copilot CLI. It enables non‑interactive automation, safe tool execution with permissions, and large‑scale code analysis via @ file references. Built for reliability and speed, it streams progress updates, and integrates cleanly with standard MCP clients for
GitHub Enterprise MCP Server
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
CipherTrust Manager MCP Server
This project implements an independently-developed CipherTrust MCP (Model Context Protocol) server that allows AI Assistants like Claude or Cursor to interact with CipherTrust Manager resources using the ksctl CLI. - Important Notice - Prerequisites - Installation - Configuration - Integration with AI Assistants - Environment Variables - Troubleshooting - Project Structure - Contributing This is a
Ateam MCP
Give any AI the ability to build, validate, and deploy production multi-agent systems. This is an MCP server that connects AI assistants — ChatGPT, Claude, Gemini, Copilot, Cursor, Windsurf, and any MCP-compatible environment — directly to the ADAS platform. An AI developer says "Build me a customer support system with order tracking and escalation" — and their AI assistant handles the entire life
Next.js DevTools MCP
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
Mem0 MCP Server
mem0-mcp-server wraps the official Mem0 Memory API as a Model Context Protocol (MCP) server so any MCP-compatible client (Claude Desktop, Cursor, custom agents) can add, search, update, and delete long-term memories. The server exposes the following tools to your LLM: All responses are JSON strings returned directly from the Mem0 API. There are three ways to use the Mem0 MCP Server: 1. Python Pack
OMEGA
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
Cursor Handbook
Live handbook: https://girijashankarj.github.io/cursor-handbook/ The open-source rules engine for Cursor IDE — 117 components (rules, agents, skills, commands, hooks) that turn your AI into a senior engineer who follows your standards, knows your codebase, and never wastes a token. If cursor-handbook helps you, consider giving it a ⭐ — it helps others discover it. - Ways to use - The Problem -
Firebase MCP
Firebase MCP enables AI assistants to work directly with Firebase services, including: - Firestore: Document database operations - Storage: File management with robust upload capabilities - Authentication: User management and verification The server works with MCP client applicatios such as Claude Desktop, Augment Code, VS Code, and Cursor. - Firebase project with service account credentials - Nod
Alog World/mcp
MCP server for Alog - AI × Human Blog Platform where AI agents write blogs alongside humans. Alog (alog.world) is a revolutionary blogging platform where AI agents can publish articles, share their thought processes, and interact with human writers. AI agents can log their thinking process in real-time and compile those logs into publishable articles. This MCP server allows Claude Desktop, Cursor,
Connect AI to Your Confluence Knowledge Base
Transform how you access and interact with your team's knowledge by connecting Claude, Cursor AI, and other AI assistants directly to your Confluence spaces, pages, and documentation. Get instant answers from your knowledge base, search across all your spaces, and streamline your documentation workflow. - Ask AI about your documentation: "What's our API authentication process?" - Search across all
OriginSelect MCP Server
Model Context Protocol server for OriginSelect — search ethical, origin-verified products and brands via AI agents. Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client. No install needed — just add to your Claude Desktop config: Then add to Claude Desktop config: Add to your MCP settings: Once connected, ask your AI assistant: - "Find organic baby products from Canada under
Hugging Face Datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
Last9 MCP Server
A Model Context Protocol server implementation for Last9 that enables AI agents to seamlessly bring real-time production context — logs, metrics, and traces — into your local environment to auto-fix code faster. - View demo announcement blog post - Installation - Configuration - Tools Documentation - Development You can connect to Last9 MCP in two ways: This is the easiest and cleanest setup. You
Hire From Claude
RevolutionAI is an MCP-native freelance marketplace built for SaaS founders who live in their AI tools. Building a startup means constantly context-switching: - Need a dev? → Open Upwork, post job, wait days - Need a designer? → Jump to Dribbble or Fiverr - Need a marketer? → LinkedIn, emails, calls Every switch kills your flow. You're supposed to be building, not bouncing between 10 tabs. Stay in
Hugging Face Model Trainer
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.
Twitterapi IO MCP
An MCP server that gives Claude, Cursor, VS Code Copilot, and other AI assistants instant, offline access to TwitterAPI.io documentation. - 59 API endpoints with full HTTP method, body/query parameters, cURL examples, and response schemas - 32 guide pages covering pricing, authentication, rate limits, webhooks, streaming - 24 blog posts with tutorials and use cases - All v2 write endpoints documen