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CodeDelta MCP server

CodeDelta is a deterministic 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.

Tools

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. Deterministic; same numbers as the GUI and CI.

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.

Related MCP server: Debate Agent MCP

Setup

  1. 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).

  2. Register the server with your agent. Claude Code example (claude mcp add or ~/.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.

See it work

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

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