# Causari

Tracks how many lines from AI-tagged commits persist via git blame and exposes local agent run logs over MCP.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed · ★ 9
- Author: croviatrust
- License: Apache-2.0 · policy=link-only · description only; the file stays with the author
- Source: https://github.com/croviatrust/causari
- Updated: 2026-10-21
- HTML: https://affpapa.org/en/nevibecode/mcp/causari

## What it does

Causari measures the survival rate of machine-generated code inside git repositories. The CLI scans commit metadata for signs of AI tools, then runs `git blame` against HEAD to see which lines remain intact. It reports counts, not quality scores.

During interactive coding, Causari stores records of prompts, model names, and modified files in a local ledger. Running `re mcp` exposes this ledger over the Model Context Protocol directly to compatible IDEs and terminal clients.

Inline completions leave no git commit trailers, making them completely invisible to this tool. Binary files such as PDFs and images are skipped during calculation.

## Install

### Claude Code (native platform)

**Install**
- The MCP registry has no launch command for it: see the repository README

## When to use it
- calculate how many lines from AI-tagged commits persist at HEAD
- log prompts, models, and targeted files into a local ledger
- supply agent session provenance to coding tools over MCP
- contrast AI code survival against untagged baseline commits

## Example prompts
- Run a Causari repository audit and check how many AI lines survived
- Start the Causari MCP server and inspect runtime prompts from the ledger
- Export an audit summary for this git branch in JSON format

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md