Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

A Model Context Protocol (MCP) server that provides AI assistants with access to Reddit data. Built on top of redd — no API keys required.

A Model Context Protocol (MCP) server that provides browser automation capabilities using kogiQA. This server enables LLMs to interact with web pages through natural language, bypassing the need for...

Headless IDA Pro binary analysis via Model Context Protocol. Go orchestrates multi-session concurrency while Python workers handle IDA operations.

Cinema4D MCP Server connects Cinema 4D to Claude, enabling prompt-assisted 3D manipulation.

This project uses the Model Context Protocol (MCP) to let LLMs directly understand and generate Max patches.

An MCP server that pairs Claude Code with Google's Gemini AI for complementary code analysis. This server enables a multi-model workflow where Claude Code handles tight terminal integration and...

An MCP (Model Context Protocol) server that connects AI assistants to your Public.com brokerage account.

A Model Context Protocol (MCP) server that provides mobile automation capabilities. This server enables LLMs to interact with mobile devices using structured UI dumps without needing to rely on...

A Model Context Protocol (MCP) server that connects AI assistants to the Nutrient Document Web Service (DWS) Processor API — enabling document creation, editing, conversion, digital signing, OCR,...

The n8n instance management tools have been integrated into the more comprehensive n8n-mcp project, which provides a complete solution for n8n automation with AI agents.

Alph — Configure MCP servers for your AI agents in one command. Local-first, atomic, and stress-free.

A Model Context Protocol (MCP) server that provides context optimization tools for AI coding assistants including GitHub Copilot, Cursor AI, Claude Desktop, and other MCP-compatible assistants...
Agent Skills

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Adala is an **utonomous **ta (**abeling) **gent framework.

Beautiful UI components built for Better Auth.

KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.

Your AI skills and agents, finally organized.

Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

A collection of AI agent skills focused on resume optimization, job applications, and career development.

For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.

upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.

📚 Check out the comprehensive docs with detailed guides, examples, and best practices!