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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
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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python.
Python boilerplate for creating AI agents, MCP servers, API microservices and monolith services. All in one!
The first open-source project that turns the most powerful code agents, such as ANTHROPIC ClaudeCode and OpenAI Codex into Background Agents, accessible via REST API, a user interface, and MCP
The Dataverse Remote MCP Server has been released at Build. To help you get started, we have prepared labs for you to try out.
GoReleaser MCP Model Context Protocol server for GoReleaser.
- Introduction - Model Context Protocol - modelcontextprotocol/typescript-sdk: The official Typescript SDK for Model Context Protocol servers and clients
This is a 12306 ticket search server based on the Model Context Protocol (MCP).
Build powerful AI applications with graph-powered RAG using Memgraph. This toolkit provides everything you need to integrate knowledge graphs into your GenAI workflows.
A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application...
Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore.
Automated security scanner for Model Context Protocol servers that detects RCE, path traversal, prompt injection, and protocol vulnerabilities.
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：