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
Figma MCP build with Rust, server with full read/write access via plugin (no REST API, no rate limits, 73 tools)
Serve any AI a Malloy semantic model over MCP — accurate, consistent answers from your data.
AI image generation, video generation, music creation, text-to-speech, prompt search, and model discovery — 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and 18...
v3.0.0 — The data plane now drives NotebookLM's (the same one the web app calls) instead of scraping the DOM — (list notebooks ~1 s vs ~30 s, generate a report ~13 s vs minutes), and more correct.
Unlock the full potential of your reMarkable tablet as a for AI assistants. This MCP server lets Claude, VS Code Copilot, and other AI tools read, search, and traverse your entire reMarkable library...
Marketcaper MCP gives AI agents fresh market data and something worth posting: cited cross-asset comparisons, asset snapshots, ready-to-publish comparison packs, and hosted stock heatmap images.
MCP Audit scans your AI development tools (Claude Desktop, Cursor, VS Code) and reveals:
Universal database MCP server — give AI assistants read/write access to your databases using connections already saved in your local DB client workspace (DBeaver-compatible).
基于 FastMCP 的服务器，通过 miniprogram-automator 自动化微信开发者工具。该服务器提供 MCP 工具，让 AI 助手能够导航、检查和操作小程序页面——类似于 playwright-mcp，但专为微信生态系统定制。
Fast MCP server for local Obsidian vault usage by AI Agents
An MCP server that validates, auto-fixes, and scaffolds TwinCAT 3 XML files. Connect it to any LLM client to give your AI assistant reliable, deterministic TwinCAT code quality tooling — structural...
MCP tools for Novyx governed actions, shared memory, audit, rollback, and evidence workflows.
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!