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
A universal, all-in-one MCP server that brings the full power of the Universal Tool Calling Protocol (UTCP) to the MCP ecosystem.
An MCP server for managing and sharing your personal knowledge, daily notes, and reuseable prompts via GitHub Gists. It's a companion to the GistPad VS Code extension and GistPad.
This project provides an MCP server acting as an interface to the Meta Ads, enabling programmatic access to Meta Ads data and management features.
The package provides two ways to connect AI applications to MCP servers on AWS:
A ModelContextProtocol server that enables AI assistants to interact with Figma files. This server provides tools for viewing, commenting, and analyzing Figma designs directly through the...
Let Claude be your Redmine assistant! MCP Redmine connects Claude Desktop to your Redmine instance, allowing it to:
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
computer-use-linux Control a real Linux desktop from any MCP host.
It is the navigation manifest for this codebase — where to find every module, how they connect, and where to look before making any claim about the code.
Welcome to the official Hugging Face MCP Server 🤗. Connect your LLM to the Hugging Face Hub and thousands of Gradio AI Applications.
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
MCP server connecting to Kubernetes
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.