Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
This is an MCP (Model Context Protocol) server that executes Manim animation code and returns the generated video. It allows users to send Manim scripts and receive the rendered animation.
Making docling agentic through MCP
Single binary. No account required. Free forever.
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.
Go server implementing Model Context Protocol (MCP) for filesystem operations.
- - 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 - -...
Search pages, query databases, and retrieve workspace knowledge from Notion.
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。
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)
Model Context Protocol (MCP) Server for reading from Google Drive and editing Google Sheets
A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)