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

Connect VSCode with MCP (Model Context Protocol) for enhanced AI assistant capabilities

Patent-pending technology that transforms any AI into a consistent, branded personality across all platforms.

🛠️ run the MCP on your own server and point any AI agent at one URL — it now holds up through real sessions and full broadcasts (no more instant "Internal server error" in HTTP mode), and hosted...

A comprehensive for Wiki.js integration with support and Docker deployment. Perfect for organizations managing multiple repositories and large-scale documentation.

An MCP (Model Context Protocol) server for the YNAB (You Need A Budget) API, built with FastMCP.

A Model Context Protocol (MCP) server for TestRail that allows interaction with TestRail's core entities through a standardized protocol.

MCP server that gives AI assistants access to efficient Julia code execution. Avoids Julia's startup and compilation costs by keeping sessions alive across calls, and persists state (variables,...

A gateway service that bridges the stdio-based Model Context Protocol (MCP) implementation in Claude Desktop with HTTP/SSE-based MCP servers.

This is a Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction capabilities.

An MCP server that gives AI assistants like Claude and Cursor the ability to perform reverse engineering, malware analysis, vulnerability research, digital forensics, and source code auditing through...

A Tauri plugin and MCP server that allow AI agents such as Cursor and Claude Code to interact with and debug your Tauri application through screenshots, DOM access, input simulation, and more.

Control Blender 3D with natural language prompts via local AI models. Built on the Model Context Protocol (MCP), connecting Claude, Cursor, or any MCP client to Blender through a local Ollama LLM.
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!