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cqfn
by cqfn

Aibolit 的 MCP 服务器,Java 代码分析器

Rultor.com 的 DevOps

制作 代码验证 代码命中率 执照

如果您使用 AI 代理(例如Claude Code 、 Cursor或Windsurf )进行代码重构,您可能会喜欢这款MCP服务器。当您要求您的 AI 代理“改进代码”时,它可能会思考到底需要改进什么。遗憾的是,它经常会忽略一些重要的问题。AI 代理的设计使其更关注外观问题,而这些对它们来说是“唾手可得的”。这款MCP服务器会提示您的代理:代码中最关键的设计问题是什么。然后,代理会对其进行重构并修复该问题。

首先,安装Node 、 Npm 、 Python 、 Pip和aibolit :

aibolit --version

然后,将此MCP服务器添加到Claude 代码(或者简单地编辑~/claude.json ,但不推荐这样做):

claude mcp add aibolit npx aibolit-mcp-server@0.0.4

然后,重新启动Claude Code并询问它类似的问题:“在我的代码库中找到最关键的设计问题并修复它。”

如何贡献

要测试此项目,只需运行以下命令(您需要安装Node 18+、 Npm和GNU make ):

npm install
make

如果更改后一切都正确构建,请提交拉取请求。

Available Tools

1 tool
find_the_most_critical_design_issueA

Analyze one Java file. Find the most serious design flaw. It must need immediate refactoring. Ignore cosmetic or minor issues. Fix the one problem that will best improve code quality. Code quality means maintainability, readability, loose coupling, and high cohesion. Point out the problem and where it is in the file.

ParametersJSON Schema
NameRequiredDescriptionDefault
pathYes

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description partially discloses behavior: it analyzes one Java file, ignores cosmetic issues, and identifies the problem with its location. However, it does not specify whether the tool is read-only or if it makes changes, nor how the analysis is performed or what the output format is.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at 6 sentences, front-loaded with the core action, and each sentence adds unique value: scope, focus, exclusion criteria, quality definition, and output. No redundant or unnecessary information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a simple tool with one parameter and no output schema, explaining the core function clearly. However, it lacks details on output format, performance expectations, or edge cases (e.g., empty file, multiple flaws), which would enhance completeness given the tool's analytical nature.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter is 'path', and the description clarifies it expects a Java file path, adding context beyond the bare schema. However, it does not detail the format or any constraints on the path, and schema description coverage is 0%, so the description provides minimal additional meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The tool name and description clearly indicate the tool identifies the most serious design flaw in a Java file, emphasizing critical issues over cosmetic ones. It distinguishes itself from a general code review tool by focusing on immediate refactoring needs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description specifies when to use the tool (to find critical design issues) and provides criteria for what constitutes a serious flaw (maintainability, readability, loose coupling, high cohesion). It implicitly advises against using it for minor issues, and with no sibling tools, this provides sufficient context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • Changedfind_the_most_critical_design_issue1 field changed
      • removedInput schema / additionalProperties
        Removed value: -false
  2. 1 tool update
    • First observedfind_the_most_critical_design_issue

TDQS

A3.9/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap. The tool's purpose is clearly defined.

Naming Consistency5/5

Single tool, so no inconsistency. The name follows a verb_noun pattern (find_issue).

Tool Count3/5

One tool for a specific purpose (finding design issues in one file) is borderline but acceptable for a narrow scope.

Completeness2/5

The server only covers a single operation (analyze one file for one issue). Lacks features like batch processing, multiple issue types, or suggestions, leaving significant gaps for a design review tool.

Maintenance

ActivityInactive
ResponsivenessUnresponsive

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