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.
MCP Gateway is a reverse proxy and management layer for MCP servers, enabling scalable, session-aware stateful routing and lifecycle management of MCP servers in Kubernetes environments.
基于 SSH 的 MCP 服务 🧙♀️。已被MCP官方收录 🎉。 SSH MCP Server 🧙♀️. It has been included in the community MCP repository 🎉.
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。
- - 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 - -...
搜索 Notion 页面、查询数据库，并获取工作区知识。
A flexible Python library and CLI tool for interacting with Model Context Protocol (MCP) servers using any LLM model.
(Repo: ruvnet/metaharness · CLI: metaharness · Library: @ruvnet/agent-harness-generator)
This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance.
Point it at a target — it crawls your app, maps every endpoint, then spawns role-specialized agents (Scout, Analyzer, Exploiter, Reporter) to test for XSS, SQLi, SSRF, SSTI, IDOR and more.
A Model Context Protocol (MCP) server that enables and to manage multiple SSH connections. Execute commands, transfer files, manage databases, create backups, monitor health, and automate DevOps...
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases.
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!