mcp-server-idapro vs filesystem

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

	mcp-server-idapro by fdrechsler	filesystem by modelcontextprotocol
Stars	★ 98	★ 85,748
30d uses	—	—
Score	41	77
Official	—	✓
Categories	SecurityDeveloper ToolsAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	14 mo ago	this month

mcp-server-idapro · Summary

An MCP server bridging AI assistants with IDA Pro for reverse engineering tasks.

filesystem · Summary

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

mcp-server-idapro · Use cases

Automating binary analysis tasks in reverse engineering workflows
Enabling AI assistants to perform code analysis and malware research
Creating intelligent reverse engineering assistants that can explore binaries

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

mcp-server-idapro · Install

Installation

1. Install the IDA Pro Remote Control Plugin

Copy ida_remote_server.py to your IDA Pro plugins directory:

- Windows: %PROGRAMFILES%\IDA Pro\plugins - macOS: /Applications/IDA Pro.app/Contents/MacOS/plugins - Linux: /opt/idapro/plugins

Start IDA Pro and open a binary file.
The plugin will automatically start an HTTP server on 127.0.0.1:9045.

2. Install the MCP Server

Clone this repository
Install dependencies: npm install
Build the project: npm run build
Configure the MCP server in your AI assistant's MCP settings:

{
  "mcpServers": {
    "ida-pro": {
      "command": "node",
      "args": ["path/to/ida-server/dist/index.js"],
      "env": {}
    }
  }
}

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.