CodeDelta is a code-churn measurement engine with AI-agent detection — a C++ engine that measures exactly what changed between two versions of a codebase (changed / deleted / added logical statements), plus scanners that find code which runs AI agents and code that may have been written by them.
CodeDelta ships with an MCP server (codedelta_mcp.py, included in every desktop
bundle), so AI agents can call the real engine instead of improvising their own churn
scripts. It speaks the Model Context Protocol over stdio — newline-delimited JSON-RPC
2.0, implemented directly with no SDK dependency; any Python 3.8+ runs it.
Everything executes locally against your working copies: no network calls, nothing leaves your machine.
Three deliberately coarse verbs:
| Tool | What it does |
|---|---|
churn_scan |
Measure churn between two directories or two git refs — CHG/DEL/ADD logical statements, REP_CHURN, per-file detail. Same numbers as the GUI and CI, every run. |
agent_scan |
Find code that runs AI agents (named SDK/agent-framework calls) plus agent evidence in git history (co-authorship trailers). |
ai_audit |
Heuristic + ML scan for AI-written code — positioned as pointers for review, not verdicts. |
- Download CodeDelta for your platform from codedelta.app/download.html (free and fully unlocked until 31 August 2026 — the licence file is a second one-click download on the same page).
- Register the server with your agent. Claude Code example (
claude mcp addor~/.claude.json):
{ "mcpServers": { "codedelta": {
"command": "python3",
"args": ["/path/to/CodeDelta/codedelta_mcp.py"] } } }On macOS the bundle path is typically /Applications/CodeDelta/codedelta_mcp.py.
The same engine runs as a GitHub Action on pull requests — live example on a real PR: code-delta-app/demo#2.
Method papers with reproducible figures: codedelta.app/papers.html · User guide: codedelta.app/user-guide.html