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

Single/multiple choice questions, custom options, multi-agent interoperability, question queueing, question rejection with explanation, elaboration requesting, quick recommendations auto-selection,...

mcp-name: io.github.n24q02m/better-email-mcp

🚀 的多平台职位聚合服务!基于 MCP 架构,支持从主流招聘网站获取职位信息,。

CLI for Tana integration - query, create, sync, and manage Tana workspaces with semantic search and MCP Server

It's a much more thought out approach to code mode

An MCP server application that sends various types of messages to the WeCom group robot.

- Dramatically improve Claude's reasoning capabilities with structured thinking.

Stockfish + LLM chess coach: an MCP server and web board that explain your mistakes in plain English

MSSQL MCP Server, provides database interaction and business intelligence capabilities. This server enables running SQL queries, analyzing business data, and automatically generating business insight...

An MCP server that exposes UniFi application API documentation (Network, Protect, Site Manager) as queryable tools for Claude Desktop, Claude Code (VS Code / JetBrains), or any MCP-compatible client.

@cyanheads/mcp-ts-core Agent-native TypeScript framework for building MCP servers. Build tools, not infrastructure.

300+ tools covering economic, fiscal, health, education, energy, environment, lobbying, housing, patents, safety, banking, consumer protection, workplace safety, transportation, seismic, clinical...
Agent Skills

https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5

Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.

Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).

山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作,一站式搞定人物、大纲、场景、剧本全链路

for quasi-experimental designs in Python.