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 OCR module using macOS Vision framework
flowlens-mcp-server gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.
Simply add tomcp.org/ before any URL: Or go to https://tomcp.org and paste the URL there.
- Transform Claude into a surgical precision animation expert with AI-powered intent analysis, complete API coverage, and production-ready patterns.
Goofish (Xianyu) automation CLI · MCP-ready · Built for AI Agents
The most intuitive and efficient MCP Server for Blender. Control Blender entirely through AI assistants like Claude — create 3D models, set up scenes, animate, render, and more, all through natural...
provides environments for AI Agents to operate computer and mobile devices.
MCP server providing systematic thinking, mental models, and debugging approaches for enhanced LLM problem-solving
AI assistants struggle with computer vision and Gen-AI knowledge:
A code and document intelligence server that indexes Git repositories and provides search through MCP and REST APIs.
MCP Serverの設定（Cursor、Claude Desktop）を参考に、mcp.jsonまたはclaude_desktop_config.jsonに以下を追記してください。 LAPRAS_API_KEYは職歴関連のツールを使う場合のみ必要です。https://lapras.com/config/api-key から取得できます。
Claude Code/Codex/Cursor/OpenCode/Gemini GL
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!