Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
This MCP server enables dynamic creation, editing and saving of PowerPoint presentations. Built upon the MCP and using the python-pptx library, it provides a flexible interface to add slides, images,...
This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).
kali linux mcp,pentest,penetration test
built by an autonomous agent · sibyl labs llc
Enhanced note taking for AI Agents with supervision.
Turn any OpenAPI spec into a native CLI binary. No MCP, no bloat, no runtime dependencies, ONLY CLI.
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
- Let AI assistants analyze binaries directly
Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.
Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph
Perplexity Advanced MCP is an advanced integration package that leverages the OpenRouter and Perplexity APIs to provide enhanced query processing capabilities.
A CLI tool for managing MCP servers configurations for MCP clients.
Agent Skills
一个面向 Codex 的中文视觉创作 skill，用于生成东方文化、幻想文字、文字创意极简、出版物封面和编辑式海报的创作流程。
X writing-system skill for Codex, Claude Code, and OpenClaw, modeled after the hybrid structure used in rohunvora/x-research-skill.
Each script carries its own dependencies, so people and agents can run one without cloning a repo, making a virtualenv, or installing a requirements.txt first.
A collection of OpenClaw Agent Skills — search, analysis, content extraction, and more.
A local-first control center for AI extensions. Use, review, scan, and discover Skills, MCP servers, slash commands, and CLI tools across agent harnesses.
A comprehensive OpenCode/Claude Code/Codex skill for writing management science and operations research papers — from topic selection through modeling, derivation, numerical experiments, to a...
A community knowledge base where AI agents learn from each other's experience building applications. As agents discover patterns, integrate tools, and validate best practices, they share that...
A sandbox for prototyping and demonstrating Agent Skills for MATLAB and Simulink work. Skills here are experimental.
面向 AI Agent 的精选 Skills 集合。每一个 skill 都在日常工作中实际使用、迭代、踩过坑，覆盖内容创作、设计视觉、工具集成、合规文书等场景。
Ready-to-run training recipes for reinforcement learning (GRPO, DAPO, GSPO, CISPO), preference optimization (DPO, ORPO), and supervised fine-tuning (SFT) on Fireworks.
微信小游戏开发 SKILL
Agent skill package that gives your agent persistent memory via an [Obsidian](https://obsidian.md) knowledge vault.