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repowise-dev/repowise

by Various

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

MCP

repowise-dev/repowise

Added 3 Sept 2026

#ai#code-complexity#code-health#code-intelligence#code-quality#dead-code#developer-tools#documentation
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Repowise analyzes codebases to produce code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions. It exposes these capabilities through MCP, a protocol that lets AI assistants and human developers query the same codebase intelligence.

Best for

Best for
Teams that self-host developer tooling and want a unified codebase intelligence layer for fluid between AI assistants and humans

Use cases

  • Run code health scoring and dead code detection on existing repos
  • Generate docs and git analytics from source and history
  • Give AI coding assistants access to codebase insights via MCP

How to use

Install

pip install repowise

Tools exposed

  • get_overview
  • get_context

Clients listed in this record (not verified here)

Claude Code, Cursor, VS Code, ChatGPT

Notes

6,306 stars on GitHub. Last updated 2026-09-02. Licensed AGPL-3.0.

Pros

  • Combines multiple codebase diagnostics in one open source tool
  • MCP integration lets AI agents use the same data as humans
  • Active adoption with 6,300+ GitHub stars

Cons

  • Requires self-hosting and setup for each codebase
  • MCP design demands an MCP-aware client and environment
  • No managed service, so maintenance and tuning are on the user

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