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

AI 端到端开发 Cocos Creator 3.8 游戏 — 42 个 MCP 工具 + Claude / Codex / Cursor Skill

Total recall for your terminal. Shared memory for your AI agents.

combining Claude Code monitoring, Claude Code config management, hooks, agents, and MCP servers in a single 5.8MB binary. 89x faster startup with SQLite cache, 492 tests, 0 clippy warnings.

Your digital developer twin — because "explain our setup again" gets old fast.

Sovereign, encrypted, portable memory for AI agents.

IGraph 把代码仓库解析为「符号节点 + 调用关系边」的知识图谱,叠加 LLM 语义摘要与向量索引,通过双通道(Dense + FTS5)RRF 融合检索对外服务。支持挂载 PRD / DB Schema 等多模态资源建立跨模态关联,内置 MCP Server 可直接接入 Cursor / Claude Code 等 AI 助手。

MCP server for Things 3 via Things Cloud API

🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama

A simple NextJS MCP client with sensible keybindings

This project is a for automating and managing interactions on a Facebook Page using the Facebook Graph API.

CLI + Local MCP - A shared structured memory store across Claude Code, Cursor, Windsurf, Antigravity, and every MCP client. Semantically queryable.

A progressive AI Agent Harness tutorial written in Rust.
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!