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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 centralized gateway for managing and connecting to multiple MCP (Model Context Protocol) servers. Provides secure, scalable access to MCP servers with SSO authentication, session isolation, and...
Generate an MCP for any web app
A lightweight MCP server that encapsulates the Exa Pool API as a toolkit for AI assistants to call.
MCP-сервер для быстрого поиска по синтаксису 1С, предоставляющий ИИ-агентам в VS Code доступ к общей документации платформы 1С:Предприятие через централизованный сервис.
A Model Context Protocol (MCP) server that enables AI assistants to interact with Tenzir—a data pipeline engine for security operations.
This is a simple example of how to use the Model Context Protocol (MCP) with OpenAI's API to create a simple agent acting from a chat context.
A Python-Based MCP Server for Hopper Disassembler
An OAuth 2.1 Authorization Server that adds authentication to any MCP (Model Context Protocol) server without code modification.
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
This repo showcases how to build Model Context Protocol (MCP) servers using Azure Cosmos DB. Explore ready-to-run samples in multiple programming languages including TypeScript,GoLang and Java.
Turn any MCP stdio server into HTTP endpoints your web app can call. Per-user session pooling, real timeout handling with background job fallback, live dashboard.
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：