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toprakahmetaydogmus/TZeroAlgorithm

toprakahmetaydogmus/TZeroAlgorithm

AST Codebase Context Engine & 21-Tool MCP Server for AI Coding Agents — Up to 95% Token Reduction & Zero-Leak Security Architecture
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add tzeroalgorithm -- npx -y tzeroalgorithm
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
9 ★ · toprakahmetaydogmus/TZeroAlgorithm · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-15 · 最近见到 2026-10-16 · 共见到 2 次 · 被 2 个来源列出
评分构成
综合分 203 · 9 ★ · 2 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 toprakahmetaydogmus/TZeroAlgorithm;我们收录于 2026-10-15;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

⚡ T-ZERO CONTEXT ARCHITECT V4

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

  
> **Enterprise-Grade Codebase Context Builder, AST Signatures Analyzer, and Token Reducer.**
> Built for Cursor, VS Code Copilot, Cline, Antigravity IDE, Claude Code, and ChatGPT. Cuts LLM context ingestion overhead by **up to 95%** while preserving the structural outline of your code (signatures, hierarchy, dependencies).
> Includes a native **Model Context Protocol (MCP)** server for autonomous AI coding agents.
**Developer:** Toprak Ahmet Aydoğmuş
**LinkedIn:** Toprak Ahmet Aydoğmuş
**Bio & Hub:** https://hopp.bio/siberegitim
**GitHub Repository:** https://github.com/toprakahmetaydogmus/TZeroAlgorithm
⚡ Visual Proof: Raw Ingestion vs. T-Zero AST Pruning (Reproducible)
| Analysis Mode | Raw Context Volume | T-Zero Pruned Payload | Token Reduction Ratio | Cost Delta / Query |
|:---|:---|:---|:---:|:---:|
| **Full Repository Scan** | 166,996 tokens | 8,465 tokens | **-94.9%** | **-$0.3963 / query** |
> Run it yourself offline ($0 cost): python tzero.py --savings
🚀 1-Line Quickstart
Or configure directly into your MCP Client (**Cursor**, **Claude Desktop**, **Windsurf**, or **Antigravity IDE**):
Or run offline CLI inspection immediately ($0 cost, 100% Zero-Leak):
---
🇬🇧 English
 
Table of Contents
1. Security Architecture (100% Zero-Leak Guarantee)
2. Model Context Protocol (MCP) Server
3. System Architecture
4. Core Highlights & Capabilities
5. Installation & Setup
6. Usage Guide (GUI & CLI)
7. Keyboard Shortcuts
8. Project Structure
9. Automated Test Suite & CI/CD
10. License & Credits
---
🔒 Security Architecture (100% Zero-Leak Guarantee)
> [!IMPORTANT]
> **T-Zero Algorithm strictly contains ZERO hardcoded, personal, or public API keys or credentials anywhere in the repository.**
> Defense-in-depth and zero-trust principles are enforced by default.
1. **OS-Level Credential Encryption (Keyring Engine):**
- API keys are never written to plain-text configuration files or logs.
- Stored through the cross-platform keyring library, which uses the native OS store:
- **Windows:** Windows Credential Manager
- **macOS:** Apple Keychain
- **Linux:** Secret Service API (GNOME Keyring / KWallet via DBus)
2. **Zero Telemetry & Absolute Privacy:**
- Your source code, tokens, file structure, and API credentials are never sent to any third-party telemetry, analytics, or developer servers.
- Outbound network traffic is exclusively initiated directly from your client to the AI provider endpoint chosen by you (NVIDIA, OpenAI, Google, Anthropic, OpenRouter, or localhost Ollama).
- The optional local web dashboard (--web) binds to 127.0.0.1 only; its page loads a web font from Google Fonts in your browser.
3. **Password-Obfuscated Keyring Backup:**
- API keys can be backed up to a password-protected .dat binary file. This uses a simple repeating-key XOR (no salt, not strong cryptography), so keep the file private and treat it like a secret. It is git-ignored by default.
4. **12-Factor Environment Variable Detection:**
- Automatically detects and inherits standard system environment variables when present:
- NVIDIA_API_KEY
- OPENAI_API_KEY
- GEMINI_API_KEY
- OPENROUTER_API_KEY
- ANTHROPIC_API_KEY
5. **100% Offline Dry-Run Mode ($0 Cost):**
- Generate full-featured context trees, AST signature maps, and markdown blueprints without any internet connection, API keys, or AI provider subscriptions.
---
🤖 Model Context Protocol (MCP) Server
T-Zero V3 natively embeds a standard **Model Context Protocol (MCP)** server (tzero_mcp.py) operating over stdio. This empowers AI agents in **Cursor**, **Claude Desktop**, **Antigravity IDE**, and **Cline** to autonomously inspect, prune, and query your project's codebase before writing a single line of code.
🛠 Available MCP Tools (21 Autonomous Tools)
| Tool Name | Parameters | Purpose |
|:----------|:-----------|:--------|
| get_project_context_tree | project_root, reduction_mode, max_tokens, include_file_contents | Scans workspace and builds a multi-tier T-Zero hierarchical context tree (T-1 to T-4) with PageRank & Git recency token budgeting. Reduces tokens by up to 95%. |
| query_module_dependencies | project_root, file_path | Analyzes incoming and outgoing import dependencies across Python, TypeScript, Go, Rust, Java, C#, and C++. |
| query_architecture_boundaries | project_root, extra_guidance | Queries active T-4 architectural boundaries, operational constraints, and Zero-Leak rules for coding agents. |
| generate_architecture_blueprint | project_root | Generates a complete system architecture specification (ARCHITECTURE.md) with live Mermaid topology diagrams. |
来源
awesome · https://github.com/toprakahmetaydogmus/TZeroAlgorithm
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