Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Fork of the getzep/graphiti example with a focus on developer experience and multi‑project support. Graphiti extracts entities and relationships from text and stores them in Neo4j.
This project allows AI agents to inside using natural language prompts. It works by sending ExtendScript commands to Illustrator via a local MCP (Model Context Protocol) server.
Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system.
A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.
mcp-debugger is a Model Context Protocol (MCP) server that exposes step-through debugging as structured tool calls.
A multi-backend reverse-engineering MCP server. Exposes binary analysis capabilities from IDA Pro and Ghidra over the Model Context Protocol, letting LLMs drive reverse-engineering tools directly.
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown.
A for Joplin note-taking application via its Python API joppy, enabling AI assistants to interact with your Joplin notes, notebooks, and tags through a standardized interface.
An Model Context Protocol (MCP) server for searching your Claude Code conversation history. Find past solutions, track file changes, and learn from previous work.
A Model Context Protocol (MCP) server that enables AI agents to control REAPER DAW — 58 tools covering project management, tracks, MIDI, FX, mixing, mastering, rendering, and audio analysis.
透過 MCP（Model Context Protocol），使 AI 工具能夠與 LINE Desktop 整合，並執行訊息的讀取與發送操作。
An AI-powered Model Context Protocol (MCP) server providing intelligent access to authoritative design systems knowledge.
Agent Skills
Personal Codex skills (drop-in folders under ~/.agents/skills/). Catalog: https://jmerta.github.io/codex-skills/
Open the interactive guide to learn more about the Skill
Chainstack is the leading suite of services connecting developers with Web3 infrastructure
A structured Agent workflow for CUMCM, MCM/ICM, and Diangong Cup — designed to keep a 72–96 hour modeling project coherent from the first decision to the final submission.
🧠 plan · 🔨 implement · 🔍 review · ✅ QA gate · 🚢 merge Thirty-five agent skills that run a full PR pipeline. Install them into any repo, with any coding agent.
A high-quality GPT-Image-2 prompting skill with bilingual README, structured prompting methods, templates, and examples.
for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media.
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows
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...
Agent-first X/Twitter client in Go — JSON envelope per command, multi-account, cookie-safe anti-detection for autonomous agents