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repowise

MCP Server Development & Runtime Low risk

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

面向AI和人类的代码库智能:代码健康评分、自动生成的文档、git分析、死代码检测和通过MCP做出的架构决策。

How to install

No unified install command; see the repository README.

About

documentation, and decisions once, then gives agents and developers cited answers,<br /> change impact, and concrete code-health fixes.</p> No tool finding as much was more precise in all 7 compiler-graded cells.<br /> dead code, and PR review. Generated prose is optional. Every benchmark publishes its sample, method, limitations, and losing rows.</sub></p> Free and self-hosted · core analysis stays on your infrastructure · no API key needed · AGPL-3.0 or commercial --- One index. Three ways to use it. | **Understand the code** | **Change it safely** | **Improve it continuously** | |---|---|--…

Recommendation signals

69 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
69 Overall
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0unique visitors
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Meta

License
AGPL-3.0
Language
Python
GitHub stars
7.0K
mo. downloads
–
Last push
2026-09-24
Created
2026-03-23

Links

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:punkpeye/awesome-mcp-servers
Topics
ai, code-complexity, code-health, code-intelligence, code-quality, dead-code, developer-tools, documentation, git-analytics, mcp, open-source, python, refactoring, static-analysis, technical-debt

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