Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions.
MCP Server is a versatile tool designed for interactive data exploration.
Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.
⚡ High-performance job queue for Bun. SQLite by default, PostgreSQL multi-broker when you scale. DLQ, cron, SQLite S3 backups, and native MCP. No Redis.
Permanent memory for AI agents. Single binary, zero dependencies, MCP native.
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
- 🎭 ：使用 Playwright 完整模拟浏览器环境 - 📝 ：自动提取标题、作者、发布时间、正文内容 - ⚡ ：最少的代码实现核心功能
File cache with diff tracking for AI coding agents. Powered by Turso, a high-performance embedded database.
This project provides an MCP server acting as an interface to the Meta Ads, enabling programmatic access to Meta Ads data and management features.
Codemogger is a code indexing library and MCP server for AI coding agents
Some users may see already installed with an old version when running brew upgrade claude-in-mobile. This happens when the local tap points to the wrong repository. Fix:
Watch Skill turns videos, live streams, meetings, and screen recordings into a searchable, timestamped index.
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!