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
Tableau's official MCP Server. Helping agents see and understand data.
Open a document, select any text, ask a question — and the answer opens as a fully-rendered child document. Follow whatever pulls at you, as deep as it goes. Every hole is saved and revisitable.
MoLing is a computer-use and browser-use MCP Server that implements system interaction through operating system APIs, enabling file system operations such as reading, writing, merging, statistics,...
— codebase-memory-mcp-pro is a community fork of (MIT License, © 2025 DeusData), maintained by @win4r.
Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.
— 优先支持静态分析、dry-run 与本地靶场。exploit、横向移动、持久化、C2、数据外传等高风险能力属于受限实验特性；policy 与 sandbox 元数据不等同于操作系统或容器级隔离。
MCP server + embedded terminal that lets Claude Code see and edit your ComfyUI workflows
A remote MCP server for SubmitMap, a directory of product launch platforms and startup directories.
The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified Python environment.
@cyanheads/git-mcp-server A Git MCP server for AI agents. STDIO & Streamable HTTP. 28 Tools · 1 Resource · 1 Prompt
iida-mcp 是一个 IDA Pro 插件，通过本地 HTTP MCP 服务暴露当前 IDB 的静态分析能力。
a coding Agent, rpc plugin, sub-agents, hashline edits, and mcp
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!