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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
A mcp server that provides real-time and historical Crypto Fear & Greed Index data, powered by the Alternative.me.
- - Comprehensive tool documentation with real-world examples - - Data handling and privacy information - - Comprehensive Docker deployment, multi-architecture builds, and production setup
The memory substrate for AI agents and developer tools. Git-versioned, file-native, MCP-first.
182 adversarial-input security tests, defusedxml everywhere, sandboxed writes, no patched binaries, no private APIs — plus a private disclosure channel with externally reported fixes already credited...
This repository contains the code and examples for the FreeCodeCamp course on Model Context Protocol (MCP).
MCP-server that provides LLMs with easy access to open data from the Swedish Government Offices and Parliament.
This repo exposes the TMF620 command layer through two interfaces:
Local-first CLI + MCP server: Any file → AI-ready Markdown + JSON
Bidirectional, stateful control of Logic Pro from AI assistants. Combines (CoreMIDI, Accessibility, CGEvent, AppleScript, OSC) into a single MCP server with smart routing, fallback chains, and...
— Let your AI agent directly control your Gaggimate
The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.
VoidMob MCP server for mobile proxies, non-VoIP SMS verifications, dedicated private numbers and global eSIMs.
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)