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cheatengine-mcp-bridge vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

cheatengine-mcp-bridge
by miscusi-peek
filesystem
by modelcontextprotocol
Stars★ 691★ 85,748
30d uses
Score5477
Official
Categories
Developer ToolsSecurityAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguageLuaTypeScript
Last committhis monththis month

cheatengine-mcp-bridge · Summary

MCP server connecting AI assistants directly to Cheat Engine for automated reverse engineering and memory analysis.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

cheatengine-mcp-bridge · Use cases

  • Automating memory analysis and pointer scanning in reverse engineering
  • Creating game trainers and security auditing tools with AI assistance
  • Generating unique AOB patterns for game updates and patches

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

cheatengine-mcp-bridge · Install

Installation

  1. Install Python dependencies:
pip install -r MCP_Server/requirements.txt

Or manually:

pip install mcp pywin32
  1. Load bridge in Cheat Engine:
  • Enable DBVM in Cheat Engine if you plan to use DBVM tools
  • Open Cheat Engine's Lua Engine or script executor
  • Execute MCP_Server/ce_mcp_bridge.lua
  1. Configure MCP client (e.g., Claude Desktop):
{
  "servers": {
    "cheatengine": {
      "command": "python",
      "args": ["C:/path/to/MCP_Server/mcp_cheatengine.py"]
    }
  }
}
  1. Restart client and verify connection with ping tool.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.