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hellob1889/Pandaone-AI-Agent

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Pandaone Guard — Free open-source MCP server for AI code audit. L1-L6 defense (file lock + audit log + pre-commit hooks) for Claude/Cursor/Trae. Local stdio, no API key, MIT.

MCP

hellob1889/Pandaone-AI-Agent

Added 21 Sept 2026

#ai-agent #ai-safety #claude #cli-tool #code-audit #cursor #devtools #file-protection

Overview

Pandaone Guard is a free, open-source MCP server for AI code audit. It provides L1-L6 defense mechanisms including file locking, audit logging, and pre-commit hooks for AI coding tools like Claude, Cursor, and Trae. Runs locally via stdio with no API key required, licensed under MIT.

Best for

Best for
Developers using Claude, Cursor, or Trae who want a local, no-key MCP guard for AI code changes.

Use cases

  • Set up a local MCP server for auditing AI-generated code changes
  • Enforce file locks and pre-commit hooks across Claude, Cursor, or Trae workflows
  • Maintain an audit log of AI code edits without sending data to external services

How to use

Install

pip install pandaone-guard

Tools exposed

  • PANDAX_FP_PASSWORD
  • PANDAX_LANG
  • PANDAONE_SKIP_GIT_CHECK
  • NO_COLOR
  • pandaone-mcp

Tested with

Claude Code, Cursor, ChatGPT

Notes

Pandaone Guard is a free, open-source MCP server for AI code audit. It provides L1-L6 defense mechanisms including file locking, audit logging, and pre-commit hooks for AI coding tools like Claude, Cursor, and Trae. Runs locally via stdio with no API key required, licensed under MIT.

0 stars on GitHub. Last updated 2026-09-21. Licensed MIT.

Use cases

  • Set up a local MCP server for auditing AI-generated code changes
  • Enforce file locks and pre-commit hooks across Claude, Cursor, or Trae workflows
  • Maintain an audit log of AI code edits without sending data to external services

Pros

  • No API key required, runs entirely local via stdio
  • Free and open-source under MIT license
  • Works with multiple AI coding tools (Claude, Cursor, Trae)

Cons

  • Zero stars on GitHub, indicating minimal community adoption or validation
  • Defense scope limited to file locking, audit logging, and pre-commit hooks
  • Requires a Python environment to run

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • No API key required, runs entirely local via stdio
  • Free and open-source under MIT license
  • Works with multiple AI coding tools (Claude, Cursor, Trae)

Cons

  • Zero stars on GitHub, indicating minimal community adoption or validation
  • Defense scope limited to file locking, audit logging, and pre-commit hooks
  • Requires a Python environment to run

Pairs with

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