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MCP STDIO Server für Radare2

3 years

Works with Finder

3

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Radare2 MCP Server

Screenshot_2025-03-22_at_5 34 47_PM Screenshot_2025-03-22_at_5 36 17_PM

A MCP server for using radare2 with AI assistants like Claude.

Features

This implementation provides a simple MCP server that:

  • Uses a direct stdin/stdout communication model
  • Provides basic tool capabilities
  • Allows seamless binary analysis with radare2
  • Direct integration of radare2 with AI assistants
  • File exploration and inspection

Installation

The simplest way to install the package is by using r2pm:

$ r2pm -Uci r2mcp

The r2mcp executable will be copied into the r2pm's bindir in your home, but this binary is not suposed to be executed from the shell because it will only work when launched from the MCP service handler of your language model of choice.

Configuration

In the Claude Desktop app press CMD + , to open the Developer settings to edit the configuration file and restart the client after editing the json file explained below

Claude Desktop Integration

To use this with Claude Desktop, update your Claude configuration file:

  1. Locate your Claude Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/Claude/claude_desktop_config.json
  2. Add the following to your configuration file:

{
  "mcpServers": {
    "radare2": {
      "command": "r2pm",
      "args": ["-r", "r2mcp"]
    }
  }
}

Docker

Alternatively, you can use Docker to run r2mcp.

docker build -t r2mcp .

Then, update your Claude Desktop configuration file to use the Docker image:

{
  "mcpServers": {
    "radare2": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "-v", "/tmp/data:/data", "r2mcp"]
    }
  }
}

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    Reviews

    5 (1)
    Avatar
    user_nM13XdST
    2025-04-17

    As a dedicated user of radare2-mcp, I must say this tool is exceptional for reverse engineering and binary analysis. Its robust functionalities and seamless integration into various workflows make it invaluable. Authored by radareorg, it's constantly updated with cutting-edge features. I highly recommend it to anyone looking for a powerful, reliable solution in this domain. Check it out on GitHub!