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

MCP server for getting github trending repos & developers

MCP Server for the Discogs API, enabling music catalog operations, search functionality, and more.

Self-extending MCP server - build and execute custom AI tools at runtime

MCP-сервер для Google Gemini — генерация и редактирование изображений, чат и анализ файлов через браузерные cookies. Без API-ключей. Бесплатно.

This is a MCP server for Claude Desktop that allows you to interact with SharePoint Online using the SharePoint REST API. It is designed to be used with the [Claude Desktop](https://claude.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation...

🤖 Let AI do your grocery shopping! An MCP server that connects Claude to H-E-B grocery stores.

MCP server that gives AI agents Frama-C: EVA, WP, and sandboxed ACSL iteration

local-first MCP discovery runtime for agents — search before invoke, reduce prompt bloat, and route to local MCP tools

MCP server providing AI assistants with Maven Central dependency intelligence for all JVM build tools (Maven, Gradle, SBT, Mill). Features Context7 integration for documentation support.

A powerful CLI and MCP-based task management system for agentic workflows.

MCP server for the Are.na API. Provides 40+ auto-generated tools from the OpenAPI spec plus custom composite 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!