🛡️ Modern Python code obfuscator - Enterprise-grade protection at 50% lower cost than PyArmor
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
claude mcp add pyobfus -- uvx pyobfus-mcp{
"mcpServers": {
"pyobfus": {
"command": "uvx",
"args": ["pyobfus-mcp"]
}
}
}Resumen de MCP Servers
# pyobfus — the Python obfuscator <p align="center"> <img src="https://raw.githubusercontent.com/zhurong2020/pyobfus/main/docs/assets/logo.jpeg" alt="pyobfus Logo" width="200"> </p> **pyobfus** (pronounced as "Python obfuscator") is a modern, AST-based **python-obfuscator / code-obfuscator** with framework-aware presets, reverse stack-trace mapping for AI-assisted debugging, and a machine-readable JSON CLI designed for [Claude Code](https://claude.com/claude-code), [Cursor](https://cursor.com/), [Codex](https://openai.com/codex/), and MCP agents. A transparent, open-source alternative to PyArmor. [](https://pypi.org/project/pyobfus/) [](https://pypi.org/project/pyobfus/) [](https://pyobfus.readthedocs.io/en/latest/) [-blue.svg)](LICENSE) [](https://www.python.org/downloads/) [](https://www.bestpractices.dev/projects/12788) [](https://doi.org/10.5281/zenodo.20846053) [](https://glama.ai/mcp/servers/zhurong2020/pyobfus) [](https://github.com/psf/black) A Python code obfuscator built with AST-based transformations. **Supports Python 3.9 through 3.14**. Provides reliable name mangling, string encoding, control-flow flattening, AES-256 string encryption, and — unique to pyobfus — a reverse-mapping workflow that lets you (or your AI coding assistant) debug obfuscated stack traces without giving up the protection. > **🔒 Pro Edition available** — 6 patent-targeted protection mechanisms (Selective Opacity, forensic watermarking, Runtime String Vault, and more) layered on top of the free AST obfuscator, $45 one-time, no subscription. See [Pro Edition](#-pro-edition) below. > **🔧 What's new in v0.5.7** — Pro builds now support `--import-obfuscation`, rewriting top-level imports to runtime `importlib` / `__import__` calls and encrypting the import strings. The comparison guide also now states the honest AST-vs-bytecode tradeoff for PyArmor alternatives. Full details in the [CHANGELOG](CHANGELOG.md); see [Pro Edition](#-pro-edition) below. ## 🔌 Companion MCP server: [`pyobfus-mcp`](pyobfus_mcp/) This repository ships **two installable packages**: | Package | What it is | Install | |---|---|---| | [`pyobfus`](https://pypi.org/project/pyobfus/) | The Python obfuscator (CLI + library). | `pip install pyobfus` | | [`pyobfus-mcp`](https://pypi.org/project/pyobfus-mcp/) | A **Model Context Protocol (MCP) server** that exposes pyobfus's tools to AI coding agents. | `uvx pyobfus-mcp` (zero-install) or `pip install pyobfus-mcp` | The MCP server lives in [`pyobfus_mcp/`](pyobfus_mcp/) and is built on the official [Model Context Protocol Python SDK](https://github.com/modelcontextprotocol/python-sdk) (FastMCP). It registers eight MCP tools so **Claude Desktop, Claude Code, Cursor, Windsurf, Zed, and Codex** can call pyobfus directly from agent conversations — no shelling out: | MCP tool | Implementation | Purpose | |---|---|---| | `protect_project` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | **One-call, self-verifying pipeline**: scan → preset → obfuscate → byte-compile + import-smoke-test the output → return `verified: true/false`. The agent reports a green check instead of hoping the transform didn't break anything | | `check_obfuscation_risks` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Pre-flight risk scan (eval/exec, dynamic attribute, framework reflection) | | `generate_pyobfus_config` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Auto-detect framework → write a working `pyobfus.yaml` | | `unmap_stack_trace` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Reverse obfuscated identifiers in a production stack trace | | `list_presets` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Enumerate community / framework / Pro presets | | `explain_preset` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Describe what a named preset changes | | `recommend_tier` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Analyze a project and recommend community vs Pro tier, with reasoning | | `start_pro_trial` | [`pyobfus_mcp/tools.py`](pyobfus_mcp/pyobfus_mcp/tools.py) | Return structured guidance for starting the 5-day Pro trial | The server is registered in the **official [MCP Registry](https://registry.modelcontextprotocol.io/)** under `io.github.zhurong2020/pyobfus-mcp`. The transport is stdio. See [`pyobfus_mcp/README.md`](pyobfus_mcp/README.md) for per-client configuration snippets. ### 🧩 Claude Code skill / plugin This repo is also a **Claude Code plugin marketplace**. The `pyobfus-protect` skill teaches an agent the full "protect Python before shipping — obfuscate **and** verify it still runs" workflow (MCP-first, CLI fallback): ``` /plugin marketplace add zhurong2020/pyobfus /plugin install pyobfus@pyobfus ``` See [`skills/`](skills/) for the skill and install details. (This is distinct from [`templates/ai-integration/`](templates/ai-integration/), which are copy-in rule files for *your* project.) ### 🤖 AI-native features - **`pyobfus --check src/`** — pre-flight risk scan: detects `eval`/`exec`, dynamic attribute access, and framework reflection points before you obfuscate. JSON output with an `ai_hint` telling your AI assistant what to run next. - **`pyobfus --init src/`** — zero-config onboarding: scans the project, detects FastAPI/Django/Pydantic/Click/SQLAlchemy, and writes a ready-to-use `pyobfus.yaml`. - **`pyobfus --unmap --trace error.log --mapping mapping.json`** — reverse obfuscated identifiers in a production stack trace so you can debug (or hand the trace to an AI assistant) without reversing the obfuscation itself. - **`pyobfus … --save-mapping mapping.json --trace-marker`** — stamp each obfuscated file with a `# pyobfus:obfuscated` header (id + mapping filename + the exact `--unmap` command) so an AI agent that lands in an obfuscated file from a traceback immediately knows it's pyobfus output and how to reverse the names. - **`pyobfus … --provenance-manifest provenance.json`** — write a local JSON manifest (obfuscated files, config hash, pyobfus version, mapping digest, and a self-consistency integrity digest — not a cryptographic signature) for offline build provenance. - **Framework-aware presets** — `--preset fastapi | django | flask | pydantic | click | sqlalchemy | ml` with built-in exclusions for dispatch methods, decorators, ORM fields, migrations, model-serving wrappers, and dependency-injection parameters. - **Global `--json`** — every CLI mode (`obfuscate`, `--check`, `--unmap`, `--init`) emits the same structured schema with an `ai_hint` field, ready for Claude Code, Cursor, Windsurf, and MCP servers to consume. ## Features ### ✅ Free Edition The following features are **fully implemented and available** in the current version: - **Cross-File Obfuscation**: Consistent name obfuscation across multiple files - Automatic import statement rewriting - `__all__` list updates with obfuscated names - Global symbol table with collision detection - Two-phase obfuscation pipeline (Scan → Transform) - Preview mode with `--dry-run` flag - **Name Mangling**: Rename variables, functions, classes, and class attributes to obfuscated names (I0, I1, I2...) - **Comment Removal**: Strip comments and docstrings - **String Encoding**: Base64 encoding for string literals with automatic decoder injection - **Parameter Preservation**: Preserve function parameter names for keyword argument compatibility (`--preserve-param-names`) - **Multi-file Support**: Obfuscate entire projects with preserved import relationships - **File Filtering**: Exclude files using glob patterns (test files, config files, etc.) - **Configuration Files**: YAML-based configuration for repeatable builds - **Selective Obfuscation**: Preserve specific names (builtins, magic methods, custom exclusions) - **Configuration Presets**: `--preset safe | balanced | aggressive` for quick obfuscation-strength tradeoffs, plus **framework-aware presets** — `--preset fastapi | django | flask | pydantic | click | sqlalchemy | ml` — with built-in exclusions for dispatch methods, decorators, ORM fields, migrations, and dependency-injection parameters. `--list-presets` shows them all - **Pre-flight Risk Scanning** (`--check`): detects `eval`/`exec`, dynamic attribute access, and framework reflection points before you obfuscate - **Reverse Stack-Trace Mapping** (`--unmap`): reverse obfuscated identifiers in a production stack trace, so you (or an AI coding assistant) can debug without un-obfuscating the shipped code - **Build Provenance** (`--provenance-manifest`, v0.5.5): local JSON manifest of an obfuscation run — output file hashes, config hash, pyobfus version, mapping digest — for offline build provenance, no network calls ### 🔒 Pro Edition The following advanced features are available with a Pro license: - **String Encryption** - AES-256 encryption for strings - Runtime decryption with injected decoder - Automatic key generation - **Anti-Debugging** - Debugger detection checks injected into functions - Multiple detection methods (sys.gettrace, sys.settrace) - Configurable behavior - **Control Flow Flattening** - State machine transformation for if/else/elif - For/while loop flattening - Nested structure support - CLI: `--control-flow` - **Dead Code
Lo que la gente pregunta sobre pyobfus
¿Qué es zhurong2020/pyobfus?
+
zhurong2020/pyobfus es mcp servers para el ecosistema de Claude AI. 🛡️ Modern Python code obfuscator - Enterprise-grade protection at 50% lower cost than PyArmor Tiene 3 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala pyobfus?
+
Puedes instalar pyobfus clonando el repositorio (https://github.com/zhurong2020/pyobfus) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar zhurong2020/pyobfus?
+
Nuestro agente de seguridad ha analizado zhurong2020/pyobfus y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene zhurong2020/pyobfus?
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zhurong2020/pyobfus es mantenido por zhurong2020. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a pyobfus?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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