Cursor AI Agent Skills

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

This is a Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities. - Complete CRUD operations (Create, Read, Update, Delete) - Database exploration and introspection - Execute custom SQL queries Define the command in your IDE's MCP Server settings: e.g. Cursor: e.g. VSCode: Your database path must be provided as an argument. Get detailed information

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.

An MCP (Model Context Protocol) server that brings authoritative medical information into AI coding environments like Cursor and Claude Desktop. - 🔒 Your Data Never Leaves – Runs 100% locally; no tracking, no logs, no cloud - 🆓 No API Keys – Works out of the box, zero configuration - 🏥 Authoritative Sources – FDA, WHO, PubMed, RxNorm, Google Scholar, AAP, pediatric journals - ⚡ Easy Setup – One

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

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

⭐ Like this project? Please star the repository on GitHub to show your support and stay updated! ⭐ Modern AI-powered coding assistants (like Cursor, Cline, Roo Code, etc.) excel at understanding code structure and syntax but often struggle with the specifics of rapidly evolving libraries and frameworks, especially in ecosystems like Rust where crates are updated frequently. Their training data cut

Anyquery is a SQL query engine that allows you to run SQL queries on pretty much anything. It supports querying files, databases, and apps (e.g. Apple Notes, Notion, Chrome, Todoist, etc.). It's built on top of SQLite and uses plugins to extend its functionality. It can also connect to LLMs (e.g. ChatGPT, Claude, Cursor, TypingMind, etc.) to allow them to access your data. Finally, it can act as a

A Model Context Protocol (MCP) server for interacting with Bugsnag. This server allows LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag. - Organization & Project Navigation: Easily browse your Bugsnag hierarchy - Error & Event Filtering: Find specific issues with powerful filtering options - Detailed Stacktrace Viewing: See formatted stacktraces with source code contex

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 -

A Model Context Protocol (MCP) server that enables AI assistants and agents (Claude, Cursor, Copilot, etc.) to search package registries and retrieve up-to-date package information. Alternatively, in Cursor, you can configure MCP servers in your settings: 1. Open Cursor Settings (Cmd/Ctrl + ,) 2. Search for "MCP" or go to Extensions > MCP 3. Add a new server with: - Name: package-registry - Comman

Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering

Update properties or content across many pages in a Notion database with dry-run and error recovery

日本語版 README An MCP (Model Context Protocol) server for searching, installing, and managing AI Agent Skills. Works with MCP-compatible clients like Claude Desktop, Cursor, and VS Code. CC BY-NC-SA 4.0 — see LICENSE.

Official Macrocosmos Model Context Protocol (MCP) server that enables interaction with X (Twitter) and Reddit, powered by Data Universe (SN13) on Bittensor. This server allows MCP clients like Claude Desktop , Cursor , Windsurf , OpenAI Agents and others to fetch real-time social media data. 1. Get your API key from Macrocosmos. There is a free tier with $5 of credits to start. 2. Install uv (Pyth

🚀 MCP Server Available: Install the Model Context Protocol server for AI Distiller from NPM: @janreges/ai-distiller-mcp - seamlessly integrate with Claude, Cursor, and other MCP-compatible AI tools! /.aid/ regardless of where you run aid - Cache management: MCP cache stored in .aid/cache/ for better organization - Easy cleanup: Add .aid/ to .gitignore to keep outputs out of version control Detect

Model Context Protocol server for automating Firefox via WebDriver BiDi (through Selenium WebDriver). Works with Claude Code, Claude Desktop, Cursor, Cline and other MCP clients. Repository: https://github.com/freema/firefox-devtools-mcp - Node.js ≥ 20.19.0 - Firefox 100+ installed (auto‑detected, or pass --firefox-path) Recommended: use npx so you always run the latest published version from npm.

Make AI interrupt itself. Challenge your thinking. Stay sharp. An MCP server that turns Claude into a philosophical sparring partner who actively contradicts comfortable conversations and challenges confirmation bias. AI assistants like ChatGPT and Claude are trained to be helpful. Sounds great, right? But in reality, this often means they tell you exactly what you want to hear, reinforce your bia

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

A Model Context Protocol (MCP) server that provides onchain tools for AI applications like Claude Desktop and Cursor, allowing them to interact with the Base Network and Coinbase API. This MCP server extends any MCP client's capabilities by providing tools to do anything on Base: - Retrieve wallet addresses - List wallet balances - Transfer funds between wallets - Deploy smart contracts - Interact

A Model Context Protocol (MCP) server enabling AI agents to query information about dependencies in a Ruby project's Gemfile. Built with fast-mcp. Install the gem and add to the application's Gemfile by executing: 1. Generate the binstub: 2. Configure your client to execute the binstub. Here are examples that work for Claude and Cursor: Available on RubyDoc The server provides two tools for AI age

A lightweight Model Context Protocol (MCP) server that enables AI agents (Claude, Cursor, Windsurf) to generate static Pix QR codes via natural-language prompts. - 🔧 MCP Tool: - generateStaticPix - Generate static Pix QR codes for any Pix key (no API required) - 🚀 Production-ready: Comprehensive error handling and logging - 🔒 Type-safe: Full TypeScript implementation with Zod validation - 📱 QR

MCP Server for Japanese corporate data — search companies, financials, patents, subsidies, and government statistics via official government APIs. 日本企業データMCPサーバー — gBizINFO・EDINET・e-Statの政府APIから企業情報をAIが直接取得できます。 You need API keys from the following government services: Add to your claudedesktopconfig.json: Add to .cursor/mcp.json: Once configured, you can ask your AI assistant: - "ソニーグループの企業情報を教えて

Transcribe MCP Automate your transcriptions with AI. Transcribe MCP instantly connects your account to assistants like Claude, Windsurf, Cursor, and more so they can automate tasks on your behalf. The Local Server can add local files for transcription and return result to your Assistant in seconds. - ⚡ Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting python p