Enterprise-grade AST context architect that prunes codebases from 102,265 tokens down to 5,274 tokens while preserving every class, method, and type hierarchy. Zero cloud dependency. Zero data leakage.
$ pip install tzero-mcp
Every metric below was computed by T-Zero's Python AST analysis engine on its own source code. No synthetic data, no estimates.
Line, character, and token change table across T-Zero source files
| File Name | Lines | Raw Characters | Raw Tokens (1:1) | T-Zero Ultra AST | Net Reduction | Status |
|---|
See how T-Zero transforms raw source into class & method skeletons with real examples
Loading...
Calculate the net financial savings T-Zero creates on your API bills and token spending
Model Context Protocol tools for Cursor, Antigravity IDE, Claude Desktop, and Cline via local stdio
Scans workspace and builds multi-tier hierarchical AST context tree with up to 95% token savings.
Analyzes inbound/outbound import dependencies, local links, and external packages across files or repo.
AST static code smell analysis and secret API key leak scanning (functions over 30 lines, globals).
100% private, in-memory BM25 + TF-IDF hybrid semantic code search engine. Zero cloud API required.
Analyzes downstream dependents and blast radius before modifying a function or class.
Validates modular import boundaries defined in tzero.rules.json to prevent architectural erosion.
Generates ultra-compressed symbol map (classes, methods, signatures) optimized for prompt windows.
Net USD token cost comparison across OpenAI, Claude, Groq, NVIDIA NIM and Ollama ($0) models.
Detects copy-pasted duplicate code blocks across modules for refactoring opportunities.
Auto-exports AI agent rule files for Cursor (.cursorrules), Cline (.clinerules), and Copilot.
Reports monthly/annual savings rate and financial payback period based on team size.
Compiles complete architecture spec (ARCHITECTURE.md) with live Mermaid component topology.
Retrieves active T-4 architectural boundaries, constraints, and 100% Zero-Leak security rules.
Comparison between traditional dev tools and T-Zero's OS-Native Keyring approach
.env or config.jsonInstall via PyPI in a single command and supercharge your AI coding agents.