Radare2 MCP Server

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"]
    }
  }
}

Codex

To install the codex plugin just run the following command:

make codex-plugin-install

This will create a personal marketplace in your home and copy the files from dist/codex-plugin inside.

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

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