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GhidraMCP

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LaurieWired

MCP Server for Ghidra

PublisherLaurieWired
RepositoryGhidraMCP
LanguageJava
Forks
900
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8.9K
Available tools
0
Transport typestdio
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    GhidraMCP exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    8.9K stars and 900 forks from the linked repository.

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

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 GhidraMCP-1-2.zip (or your chosen version) 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. Three examples are given below.

Example 1: Claude Desktop

To set up Claude Desktop as a Ghidra MCP client, go to Claude -> Settings -> Developer -> Edit Config -> claude_desktop_config.json and add the following:

json
{
  "mcpServers": {
    "ghidra": {
      "command": "python",
      "args": [
        "/ABSOLUTE_PATH_TO/bridge_mcp_ghidra.py",
        "--ghidra-server",
        "http://127.0.0.1:8080/"
      ]
    }
  }
}

Alternatively, edit this file directly:

/Users/YOUR_USER/Library/Application Support/Claude/claude_desktop_config.json

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.

Example 2: Cline

To use GhidraMCP with Cline, this requires manually running the MCP server as well. First run the following command:

python bridge_mcp_ghidra.py --transport sse --mcp-host 127.0.0.1 --mcp-port 8081 --ghidra-server http://127.0.0.1:8080/

The only required argument is the transport. If all other arguments are unspecified, they will default to the above. Once the MCP server is running, open up Cline and select MCP Servers at the top.

Cline select

Then select Remote Servers and add the following, ensuring that the url matches the MCP host and port:

  1. Server Name: GhidraMCP
  2. Server URL: http://127.0.0.1:8081/sse

Example 3: 5ire

Another MCP client that supports multiple models on the backend is 5ire. To set up GhidraMCP, open 5ire and go to Tools -> New and set the following configurations:

  1. Tool Key: ghidra
  2. Name: GhidraMCP
  3. Command: python /ABSOLUTE_PATH_TO/bridge_mcp_ghidra.py

Building from Source

  1. Copy the following files from your Ghidra directory to this project's lib/ directory:
  • Ghidra/Features/Base/lib/Base.jar
  • Ghidra/Features/Decompiler/lib/Decompiler.jar
  • Ghidra/Framework/Docking/lib/Docking.jar
  • Ghidra/Framework/Generic/lib/Generic.jar
  • Ghidra/Framework/Project/lib/Project.jar
  • Ghidra/Framework/SoftwareModeling/lib/SoftwareModeling.jar
  • Ghidra/Framework/Utility/lib/Utility.jar
  • Ghidra/Framework/Gui/lib/Gui.jar
  1. Build with Maven by running:

mvn clean package assembly:single

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

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

Use GhidraMCP MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once GhidraMCP is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add GhidraMCP as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the GhidraMCP MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "ghidramcp": {
      "command": "npx",
      "args": [
        "-y",
        "null"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the GhidraMCP MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the GhidraMCP MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use GhidraMCP to help me with this task?
GhidraMCP
Sure. I read it.
Here is what I found using GhidraMCP.

Frequently asked questions

What is the GhidraMCP MCP server used for?

GhidraMCP is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use GhidraMCP MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use GhidraMCP with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use GhidraMCP MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With GhidraMCP connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect GhidraMCP MCP to TypingMind?

GhidraMCP runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does GhidraMCP MCP provide in TypingMind?

GhidraMCP exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use GhidraMCP MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If GhidraMCP requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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