Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
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Retrieval-augmented search, hooks, and an MCP server in a single local system. No API keys, no cloud dependencies.
Allows AI Agents to interact with the Twilio SendGrid v3 API, managing contact lists, templates, single sends, and stats
An MCP server that provides ripgrep (rg) search capabilities to any MCP client such as Claude.
A self-hosted MCP (Model Context Protocol) server providing fast search and reliable web scraping using SearXNG + Crawl4AI stack.
Zero burden, ready-to-use Model Context Protocol (MCP) server for interacting with MySQL and automation. No Node.js or Python environment needed.
A comprehensive Model Context Protocol (MCP) server that provides full integration with Mautic marketing automation platform.
Java Debugger MCP Server. Enables AI agents to debug live Java apps via JDI with breakpoints, stack tracing, and variable inspection.
Revolutionary Open Source Tool for Managing Apache Airflow with Natural Language
FinData enables your AI agents retrieve financial data from different providers like Tushare, Wind, and DataYes.
https://github.com/user-attachments/assets/89df70b0-65d1-461c-b4ab-84b2087136fa
A full write-up can be found here: https://blog.securitybreak.io/building-a-threat-intelligence-genai-reporter-with-orkl-and-claude-a0ae2e969693
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!