radare2-mcp

radareorg/radare2-mcp

3.5

If you are the rightful owner of radare2-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

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

Radare2 MCP Server

ci radare2

An MCP server to use radare2 with AI agents such as OpenCode, Mai, VSCode, Claude, CLION, ...

Features

This implementation provides:

  • 💻 Fully written in C using the native r2 APIs
  • 🧩 Works from the CLI, as an r2 plugin and as an MCP server
  • 🔍 Seamless binary analysis with radare2
  • 🔗 Connect to any local or remote r2/iaito session via r2pipe
  • 🔒 Supports readonly mode, sandbox lock and restrict tools
  • 🔩 Fine grained tools configuration
  • 🔁 Direct stdin/stdout communication model
  • 🛠️ Optional raw access to run r2 commands or r2js scripts

Installation

Using r2pm

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

$ r2pm -Uci r2mcp

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

$ r2pm -r r2mcp

That's the common mcpServer JSON configuration file:

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

Using Docker

Alternatively, you can build the Docker image:

docker build -t r2mcp .

Update your MCP client configuration file (see below) to use the Docker image to use:

  • "command": "docker"
  • "args": ["run", "--rm", "-i", "-v", "/tmp/data:/data", "r2mcp"].

Configuration

Claude Desktop Integration

In the Claude Desktop app, press CMD + , to open the Developer settings. Edit the configuration file and restart the client after editing the JSON file as explained below:

  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"]
    }
  }
}

VS Code Integration

To use r2mcp with GitHub Copilot Chat in Visual Studio Code by adding it to your user configuration (see other options here):

  1. Open the Command Palette with CMD + Shift + P (macOS) or Ctrl + Shift + P (Windows/Linux).
  2. Search for and select Copilot: Open User Configuration (typically found in ~/Library/Application Support/Code/User/mcp.json in macOS).
  3. Add the following to your configuration file:
{
  "servers": {
    "radare2": {
      "type": "stdio",
      "command": "r2pm",
      "args": ["-r", "r2mcp"]
    }
  },
  "inputs": []
}

Zed Integration

You can use r2mcp with Zed as well by adding it to your configuration:

  1. Open the command palette: CMD + Shift + P (macOS) or Ctrl + Shift + P (Windows/Linux).
  2. Search of agent: open configuration or search of settings.
  3. Add your server as such:
  "context_servers": {
    "r2-mcp-server": {
      "source": "custom",
      "command": "r2pm",
      "args": ["-r", "r2mcp"],
      "env": {}
    }
  }

Note: you will need another LLM agent, such as Claude, Gemini or else to be able to use it.

For Developers

Build from Source

Linux/macOS

To test the server locally, you can build and install it with make:

make install

This will compile the server and place the r2mcp binary in /usr/local/bin on macOS.

Windows

For Windows, just use meson and ninja like it's done in the CI:

meson b
ninja -C b