GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Production Java Maven scaffolder (CLI + Claude Code plugin) for AI coding agents
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 arianlopezc 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.16.0)于26天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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Generate production-ready Java projects — with the AI context your coding agents need built in.
Starting a new Java project is slow — even with a coding agent helping. You set up Maven modules, wire databases and tests, copy boilerplate from that one project that "mostly works," and then spend the first hour explaining every architectural convention to Claude Code, Cursor, Copilot, or Codex from scratch. Hours pass before you write a single line of business logic. Trabuco exists because your time — and your agent's context window — is better spent building features, not fighting configuration or re-teaching conventions.
Trabuco is a command-line tool — and a Claude Code plugin — that generates both halves of a modern Java codebase: a complete, production-ready multi-module Maven project *and* the AI context that teaches coding agents how to work in it. Run trabuco init (or inside Claude Code, type /trabuco:new-project and describe what you need in plain English), answer a few prompts (or pass flags for automation), and you get a fully wired Spring Boot codebase alongside task-specific prompts, quality specifications, per-agent rule files, and workflow hooks already configured for Claude Code, Codex, Cursor, and GitHub Copilot. No templates to download, no manual setup, and no session spent bootstrapping your agent's understanding of the project.
The generated code is production-grade by default. Spring Boot with Spring Data JDBC (no JPA surprises), Flyway migrations, Testcontainers for real integration tests, Resilience4j circuit breakers, Google Java Format enforced by Spotless, ArchUnit rules that fail the build on layer violations, correlation-ID tracing, Prometheus metrics, OpenAPI + Swagger UI, and a global exception handler with sanitized responses. PostgreSQL, MySQL, MongoDB, or Redis — all configured with Docker Compose. JobRunr for background jobs; Kafka, RabbitMQ, AWS SQS, or GCP Pub/Sub for event-driven processing. The modular layout — Model, SQLDatastore / NoSQLDatastore, Shared, API, Worker, EventConsumer — has clean compile-time boundaries so API physically cannot import Worker code. Every opinion is deliberate: keyset pagination, no foreign-key constraints, Immutables at module boundaries, constructor injection only, bulk-bounded writes.
Alongside the code, Trabuco lays down an AI collaboration layer that the major coding agents load natively. The .ai/prompts/ directory ships task-specific guides (add-entity, add-endpoint, add-service, add-event, add-job, add-tool) plus JAVA_CODE_QUALITY.md — an authoritative specification covering architecture boundaries, exception handling, datastore performance (bulk I/O, keyset drain loops, denormalization), and testing standards. Per-agent rule files — CLAUDE.md for Claude Code, AGENTS.md for Codex, .cursor/rules/java.mdc for Cursor, .github/instructions/java.instructions.md for Copilot — wire those conventions into each tool's native discovery. Claude also gets .claude/skills/ for commit, PR, and review workflows; Codex and Cursor get hooks; Copilot gets setup steps. Every architectural convention lives in two places: enforced by the generated code and explained to the agents that will extend it.
Trabuco goes further. The AI Agent module ships production scaffolding for building AI agents *themselves* on Spring AI: tool calling, LLM input/output guardrails, multi-agent orchestration, knowledge-base integration, MCP server endpoint, the A2A (Agent-to-Agent) protocol, streaming responses, webhook callbacks, scope-based authorization, rate limiting, and correlation-ID tracing — wired, testable, and ready from the first commit. Trabuco itself is also an MCP server: run trabuco mcp and your coding agents invoke scaffolding operations natively (init_project, add_module, design_system, suggest_architecture).
Migrating an existing Spring Boot project is supported via
trabuco migrate: an orchestrated 14-phase migration that transforms a Maven-based Spring Boot repo in place into a Trabuco-shaped multi-module project. Each phase is owned by a specialist that proposes structured changes you approve at a gate before they're committed; per-phase git tags provide atomic rollback. Start withtrabuco migrate assess /path/to/repo. Full guide:docs/migration-guide.md.
# Recommended: use via npx (no install needed)
claude mcp add trabuco -- npx -y trabuco-mcp
npm install -g trabuco-mcp # via npm go install github.com/arianlopezc/Trabuco/cmd/trabuco@latest # via Go curl -sSL https://raw.githubusercontent.com/arianlopezc/Trabuco/main/scripts/install.sh | bash # via shell
For per-agent MCP setup (Cursor, Copilot, Codex), offline tarballs, and binary fallback, see docs/manual.md#installation.
# Interactive — Trabuco asks what you need
trabuco init
trabuco init --name=myapp --group-id=com.company.myapp \ --modules=Model,SQLDatastore,Shared,API --database=postgresql
cd myapp mvn clean install cd API && mvn spring-boot:run
Your API runs at http://localhost:8080. For Worker, EventConsumer, AIAgent, and CI examples, see docs/manual.md#quick-start.
Trabuco is published in Anthropic's community plugin marketplace. Inside Claude Code:
/plugin marketplace add anthropics/claude-plugins-community
/plugin install trabuco@claude-community
You can also browse the catalog at claude.com/plugins, or pin to this repo directly (e.g. for unreleased changes) with /plugin marketplace add arianlopezc/Trabuco then /plugin install trabuco@trabuco-marketplace.
The plugin ships 8 skills (/trabuco:new-project, /trabuco:design-system, /trabuco:add-module, /trabuco:extend, /trabuco:migrate, /trabuco:doctor, /trabuco:suggest, /trabuco:sync), 17 specialist subagents (architect, AI-agent expert, migration orchestrator, 14 migration phase specialists), and an MCP server with 25 tools. Full plugin docs: plugin/README.md.
The plugin requires the trabuco CLI on PATH — install it first (or after; the SessionStart hook detects missing binaries and tells the assistant exactly what to do).
SecurityFilterChain, JWT validation, scope-mapped authorities, RFC 7807 ProblemDetail handlers, RSA-signed e2e tests. Ships dormant — flip trabuco.auth.enabled=true and set OIDC_ISSUER_URI to validate tokens from Keycloak / Auth0 / Okta / Cognito / generic OIDC. No CLI flag, no half-installed projects. Full guide: docs/auth.md.ApiKeyAuthFilter (governed by an independent property) for incremental migration..ai/prompts/ task guides, JAVA_CODE_QUALITY.md spec, per-agent rule files for Claude Code / Codex / Cursor / GitHub Copilot.trabuco migrate runs a 14-phase orchestrated flow with per-phase approval gates and atomic rollback.--ci github emits a workflow with the exact Docker services your modules need.trabuco sync --apply adds AI-tooling files added in newer CLI versions, additively.For the full feature list, see docs/manual.md#features.
Issues and pull requests welcome.
MIT — do whatever you want with it.
Built with Trabuco. Now go build something amazing.