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
Go server implementing Model Context Protocol (MCP) for filesystem operations.
Making docling agentic through MCP
(Repo: ruvnet/metaharness · CLI: metaharness · Library: @ruvnet/agent-harness-generator)
MCP-SecurityTools 是一个专注于收录和更新网络安全领域 MCP 的开源项目，旨在汇总、整理和优化各类与 MCP 相关的安全工具、技术及实战经验。
搜索 Notion 页面、查询数据库，并获取工作区知识。
- - 八字、六爻、紫微斗数、奇门遁甲、大六壬、梅花易数、塔罗、MBTI、面相、手相、合盘、周公解梦 - - 支持导出命理体系文本进行AI分析，多模型支持，深度推理，视觉识别 - - 支持 Model Context Protocol（MCP），可在支持MCP的agent中直接调用命理工具 - - 支持存储所有命理体系的记录，可将命理体系纳入个人知识库，显式引用命理体系数据源 - -...
A flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using any LLM model.
Install → your agent gets $10,000 paper money → trades real Polymarket order books → tracks P&L → competes on a public leaderboard. Zero risk. Real prices.
A solution for , allowing remote access and centralized management of model contexts.
BloodHound-MCP is a powerful integration that brings the capabilities of Model Context Procotol (MCP) Server to BloodHound, the industry-standard tool for Active Directory security analysis.
A simple implementation of an MCP server for using dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.
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Agent Skills
Codex Skill for batching, scheduling, and verifying Douyin image posts.
输出 自包含 、 主线清楚 、 核心内容完整 、 证据可追溯 的 Markdown 论文阅读报告
南鸢·人像角色设定师：把人物气质转成脸部结构、妆容与完整中文提示词
A curated paper list and resource hub for skill-centric LLM agent ecosystems.
Other awesome lists give you paper titles.
Build production apps, write PRDs with AI, and go from idea to deployed product using Claude Code. No coding background required.
A collection of AI agent skills following the Agent Skills open format. These skills extend AI coding agents with specialized capabilities and domain knowledge.
一套面向 Codex / Claude / WorkBuddy 等 Agent 的小红书冷启动与图文生产 Skills。
微信群聊活跃度分析工具 — 解密本地 WeChat 数据库，统计成员发言，Web Dashboard 可视化。
Agent Skills for Parallel — web search, content extraction, deep research, and data enrichment for AI coding agents.
OpenCode, Pi, Codex, and Cursor can discover the same Agent Skill; their full Phase 0→5 pipeline remains unverified.
Command-line tool for distributed LLM inference benchmarks on SLURM clusters using TensorRT LLM, SGLang and vLLM.