Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

MCP server for Ansys Electronics Desktop automation with PyAEDT, HFSS, Maxwell, Q3D, Icepak, native AEDT APIs, reports, sweeps, and simulation workflows.

🔌 Plug-and-play library to enable agents to call MCP and UTCP tools via code execution.

MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

🗓️ Natural Language Calendar Management for macOS

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

Turn any MCP-compatible AI client into an image generator. Send a normal prompt, choose a backend mode, and get real saved image files back.

Community plugin to control Blender 3D with any LLM of your choice

Model Context Protocol server for the book Open and Async — async-first method tools plus the book's outline, taglines, and summaries. Ships the method, never the manuscript.

Find and automatically fix guardrail gaps, unsafe tools, missing validation, and unbounded loops in Claude Agent SDK, OpenAI Agents SDK, Google ADK, LangChain, CrewAI, and MCP agents — before...

Magic-API MCP Server - A Model Context Protocol server for Magic-API development

Model Context Protocol server for DeepSeek's advanced language models

A comprehensive toolkit for loading data into Qdrant vector database with advanced MCP server support for AI-powered development workflows.
Agent Skills

Personal memory across agents

Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.

Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible

AI agents should not give project advice from vibes.

provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...

🚀 Generate Python data models from schema definitions in seconds.

Agent-native way to access any website. Bridging agent CLI and web GUI through API.

The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...

A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.

Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...

A multi-agent ML pipeline that turns a client's spreadsheet into a trained model and a one-page decision-support report — all inside hardened NemoClaw sandboxes.

High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库,涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。