ghidra-mcp

How to use ghidra-mcp

python -m pip install -r requirements-debugger.txt
python -m debugger

{
     "mcpServers": {
       "ghidra": {
         "command": "uv",
         "args": ["run", "--script", "/path/to/ghidra-mcp/bridge_mcp_ghidra.py"]
       }
     }
   }
   ```

### Installation (Arch Linux — AUR)

[@Pandoriaantje](https://github.com/Pandoriaantje) maintains community AUR packages:

- [`ghidra-mcp-git`](https://aur.archlinux.org/packages/ghidra-mcp-git) — tracks `main`
- [`ghidra-mcp`](https://aur.archlinux.org/packages/ghidra-mcp) — tracks tagged releases

Install with your AUR helper of choice, e.g.:

What is ghidra-mcp?

ghidra-mcp is a Java MCP server for Cursor, VS Code with uvx/pip, git clone, remote URL. Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, a. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Tool access support
• Shell commands support
• Browser use support
• Document generation support
• Anthropic provider support
• Connecting agents to external tools and data
• Integrations workflows

Available tools

Technical details

Install or run ghidra-mcp using uvx/pip. Check bethington/ghidra-mcp for the latest setup command.

• Built for Java
• Built for Python
• Built for Rust
• Install or run with uvx/pip
• Install or run with git clone
• Install or run with remote URL
• Works with Cursor
• Works with VS Code

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use ghidra-mcp

• Use it for connecting agents to external tools and data.
• Use it for integrations workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for cursor users.

Built with

Explore related resources

Frequently asked questions