官方说明10 个来源MCP 服务8 天前
cqfn/aibolit-mcp-server
☕ - Identifies refactoring hotspots to help agents improve code
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add aibolit-mcp-server -- npx -y aibolit-mcp-server
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 27 ★ · cqfn/aibolit-mcp-server · 取自 GitHub 搜索 API · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 27 ★ · 10 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
cqfn/aibolit-mcp-server；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
MCP Server for Aibolit, Java Code Analyzer
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
If you use AI agents, such as [Claude Code], [Cursor], or [Windsurf],
for code refactoring, you may enjoy using this [MCP] server.
Your AI agent, when you ask it to "make code better,"
may wonder what exactly needs to be improved.
Sadly, it may often overlook important problems.
AI agents, by design, pay more attention to cosmetic issues,
which are "low-hanging fruits" for them.
This [MCP] server will give your agent a hint:
what is the **most critical design issue** in the code.
Then, the agent will refactor it and fix the issue.
First, install [Node], [Npm], [Python], [Pip], and [aibolit]:
Then, add this [MCP] server to [Claude Code]
(or simply edit ~/claude.json, but it's not recommended):
Then, restart [Claude Code] and ask it something along these lines:
"Find the most critical design issue in my code base and fix it."
How to Contribute
To test this project, simply run the following commands
(you'll need [Node] 18+, [Npm], and [GNU make] installed):
If everything builds correctly after your changes, submit a pull request.
[MCP]: https://modelcontextprotocol.io/
[Npm]: https://www.npmjs.com/
[Node]: https://nodejs.org/en
[aibolit]: https://github.com/cqfn/aibolit
[Claude Code]: https://github.com/anthropics/claude-code
[Cursor]: https://www.cursor.com/
[Windsurf]: https://windsurf.com/editor
[GNU make]: https://www.gnu.org/software/make/
[Python]: https://www.python.org/
[Pip]: https://pypi.org/project/pip/
for code refactoring, you may enjoy using this [MCP] server.
Your AI agent, when you ask it to "make code better,"
may wonder what exactly needs to be improved.
Sadly, it may often overlook important problems.
AI agents, by design, pay more attention to cosmetic issues,
which are "low-hanging fruits" for them.
This [MCP] server will give your agent a hint:
what is the **most critical design issue** in the code.
Then, the agent will refactor it and fix the issue.
First, install [Node], [Npm], [Python], [Pip], and [aibolit]:
Then, add this [MCP] server to [Claude Code]
(or simply edit ~/claude.json, but it's not recommended):
Then, restart [Claude Code] and ask it something along these lines:
"Find the most critical design issue in my code base and fix it."
How to Contribute
To test this project, simply run the following commands
(you'll need [Node] 18+, [Npm], and [GNU make] installed):
If everything builds correctly after your changes, submit a pull request.
[MCP]: https://modelcontextprotocol.io/
[Npm]: https://www.npmjs.com/
[Node]: https://nodejs.org/en
[aibolit]: https://github.com/cqfn/aibolit
[Claude Code]: https://github.com/anthropics/claude-code
[Cursor]: https://www.cursor.com/
[Windsurf]: https://windsurf.com/editor
[GNU make]: https://www.gnu.org/software/make/
[Python]: https://www.python.org/
[Pip]: https://pypi.org/project/pip/
- 来源
- awesome · https://github.com/cqfn/aibolit-mcp-server
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