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
An MCP server implementation that integrates with SearXNG, providing privacy-focused meta search capabilities.
Let your AI agents actually work as a team. Multi-agent collaboration for Claude Code, Gemini CLI, Codex CLI, Ollama, and API-backed agents — with a live operator dashboard and a 3D virtual office to...
ACI indexes your code with embeddings and Tree-sitter AST parsing, then lets you search it with natural language. Results come back with exact file paths and line numbers, not just fuzzy matches.
A local-first MCP server that gives AI agents shared, durable memory through hybrid semantic search, SQLite FTS5, and a knowledge graph—without Docker or a required cloud service.
MCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.
Claude Code multi-account manager, usage monitor (CLI, TUI & MCP cross-account delegation)
A simple MCP server that exposes datetime information to agentic systems and chat REPLs
Illustrative estimates. The ~90% is Claude-side token reduction on analysis-heavy tasks — not total cost: Kimi's own subscription still applies.
(formerly gsd-plugin) is a Claude Code plugin that plans, executes, and verifies your work. It asks you only about the real design and architecture decisions that need your judgment, then carries out...
This extension provides documentation support for building with the Gemini API on the Gemini CLI or other MCP-enabled tools.
A flexible and dynamic Proxy Server that acts as a single MCP server while connecting to and routing between multiple backend MCP servers over STDIO or SSE.
Reqable MCP Server is a Dart-based MCP server that communicates with AI tools over stdio and exposes Reqable capabilities through MCP tools.
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!