MCPHub LabRegistryLaurieWired/GhidraMCP
LaurieWired

LaurieWired/GhidraMCP

Built by LaurieWired • 8,064 stars

What is LaurieWired/GhidraMCP?

A high-performance MCP server implementation for LaurieWired/GhidraMCP that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use LaurieWired/GhidraMCP?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/LaurieWired/GhidraMCP 3. Restart your client and verify the new tools are available in the system catalog.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/lauriewired-ghidramcp --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/lauriewired-ghidramcp

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

LaurieWired/GhidraMCP FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

Official Documentation

View on GitHub

License GitHub release (latest by date) GitHub stars GitHub forks GitHub contributors Follow @lauriewired

ghidra_MCP_logo

ghidraMCP

ghidraMCP is an Model Context Protocol server for allowing LLMs to autonomously reverse engineer applications. It exposes numerous tools from core Ghidra functionality to MCP clients.

https://github.com/user-attachments/assets/36080514-f227-44bd-af84-78e29ee1d7f9

Features

MCP Server + Ghidra Plugin

  • Decompile and analyze binaries in Ghidra
  • Automatically rename methods and data
  • List methods, classes, imports, and exports

Installation

Prerequisites

  • Install Ghidra 12.1.4
  • Install uv (or Python 3.10+ with pip install git+https://github.com/LaurieWired/GhidraMCP, then use ghidra-mcp as the command below)

Ghidra

First, download the latest release from this repository. This contains the Ghidra plugin and Python MCP client. Then, you can directly import the plugin into Ghidra.

  1. Run Ghidra
  2. Select File -> Install Extensions
  3. Click the + button
  4. Select the ghidra_12.1.4_PUBLIC_<date>_GhidraMCP.zip from the downloaded release
  5. Restart Ghidra
  6. Make sure the GhidraMCPPlugin is enabled in File -> Configure -> Developer
  7. Optional: Configure the port in Ghidra with Edit -> Tool Options -> GhidraMCP HTTP Server

Video Installation Guide:

https://github.com/user-attachments/assets/75f0c176-6da1-48dc-ad96-c182eb4648c3

MCP Clients

Theoretically, any MCP client should work with ghidraMCP. Most clients accept a JSON config like the following:

{
  "mcpServers": {
    "ghidra": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/LaurieWired/GhidraMCP",
        "ghidra-mcp",
        "--ghidra-server",
        "http://127.0.0.1:8080/"
      ]
    }
  }
}

The server IP and port are configurable and should be set to point to the target Ghidra instance. If not set, both will default to localhost:8080.

For clients that connect to a URL instead of launching a command, first run the MCP server yourself:

uvx --from git+https://github.com/LaurieWired/GhidraMCP ghidra-mcp --transport streamable-http --mcp-host 127.0.0.1 --mcp-port 8081 --ghidra-server http://127.0.0.1:8080/

Then add http://127.0.0.1:8081/mcp as a remote server in your client.

Example 1: VS Code

Run MCP: Add Server from the Command Palette, or add the following to .vscode/mcp.json in your workspace:

{
  "servers": {
    "ghidra": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/LaurieWired/GhidraMCP",
        "ghidra-mcp",
        "--ghidra-server",
        "http://127.0.0.1:8080/"
      ]
    }
  }
}

Example 2: Claude Code

Run the following command:

claude mcp add ghidra -- uvx --from git+https://github.com/LaurieWired/GhidraMCP ghidra-mcp --ghidra-server http://127.0.0.1:8080/

Headless (no Ghidra GUI)

ghidra-mcp can also import and analyze a binary itself using PyGhidra, with no Ghidra GUI running. This needs Python 3.10–3.13, the GhidraMCP extension installed in Ghidra (or --extension-jar /path/to/GhidraMCP.jar), and GHIDRA_INSTALL_DIR set to your Ghidra 12.1.4 directory:

uvx --python 3.13 --from "ghidra-mcp[headless] @ git+https://github.com/LaurieWired/GhidraMCP" ghidra-mcp --headless --binary /path/to/target

Use the same command and arguments in any of the client configs above. Add --project DIR to keep the Ghidra project (and save changes) between runs. On macOS, build Ghidra's decompiler once with support/gradle/gradlew buildNatives from the Ghidra directory.

Building from Source

  1. Set GHIDRA_INSTALL_DIR to your Ghidra 12.1.4 directory
  2. Build the extension with Gradle (Java 21) by running:

cd extension && $GHIDRA_INSTALL_DIR/support/gradle/gradlew buildExtension

The generated zip file in extension/dist/ includes the built Ghidra plugin and its resources. These files are required for Ghidra to recognize the new extension.

  • lib/GhidraMCP.jar
  • extension.properties
  • Module.manifest

The Python MCP server can be run from a checkout with uv run ghidra-mcp, and tested with uv run pytest.

Global Ranking

7.8
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "lauriewired-ghidramcp": { "command": "npx", "args": ["lauriewired-ghidramcp"] } } }