codedelta
OfficialCodeDelta MCP server
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.
Tools
Three deliberately coarse verbs:
Tool | What it does |
| 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. |
| Find code that runs AI agents (named SDK/agent-framework calls) plus agent evidence in git history (co-authorship trailers). |
| Heuristic + ML scan for AI-written code — positioned as pointers for review, not verdicts. |
Related MCP server: Selvedge
Setup
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.
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
This server cannot be deployed
Maintenance
Related MCP Connectors
Code intelligence platform for AI agents. 20 tools for architecture, security & impact analysis.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Codebase intelligence for AI agents — dead code, blast radius, ownership.
Deterministic context layer for your codebase: change impact, blast radius, answers with receipts.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables multi-agent code review with P0/P1/P2 severity scoring by orchestrating locally installed AI CLIs (Claude, Codex) to perform parallel analysis, deterministic scoring, and consensus-building on git diffs.2-
- AlicenseAqualityAmaintenanceChange tracking for AI-era codebases. AI agents call it to log structured change events (entity + diff + reasoning) before the session ends, then query history with diff, blame, history, changeset, and search. Captures the intent that would otherwise evaporate.8205 PyPI23MIT

Mapnosticsofficial
AlicenseNot gradedqualityCmaintenanceCodebase intelligence for AI agents - dead code, blast radius, ownership.20 npmMIT- FlicenseNot gradedqualityBmaintenanceEnables developers and AI agents to compute deterministic in-memory unified diffs between successive versions of live artifacts and receive structured change telemetry in return. It runs with zero external dependencies and plugs into MCP-compliant clients such as Claude Desktop, Cursor, and Windsurf.8-