mcghidra/docker

MCGhidra Docker Setup

This directory contains Docker configuration for running MCGhidra in headless mode.

Quick Start

# Build the image
docker build -t mcghidra:latest -f docker/Dockerfile .

# Analyze a binary
docker run -p 8192:8192 -v /path/to/binaries:/binaries mcghidra /binaries/sample.exe

# Check API health
curl http://localhost:8192/

Architecture

The Docker container includes:

1. Ghidra 11.4.2 - Full headless installation
2. MCGhidra Extension - The Java plugin (installed in Extensions/)
3. MCGhidraServer.py - Headless HTTP server (Jython, full API parity)

Why Two HTTP Servers?

The MCGhidra plugin (MCGhidraPlugin.java) is a full Ghidra GUI plugin that requires:

• Ghidra's PluginTool framework
• ProgramManager service for program access
• GUI event handling

These GUI services don't exist in headless mode. Instead, the container uses MCGhidraServer.py, a Jython script that:

• Runs via analyzeHeadless -postScript
• Has direct access to currentProgram from the script context
• Provides full API parity with the GUI plugin (45 routes)
• Supports all read and write operations

Available Endpoints (Headless Mode)

The headless server implements the complete MCGhidra HTTP API:

Category	Endpoints	Description
Info	GET /, /info, /program	API info, program metadata
Functions	GET /functions, /functions/{addr}, /functions/by-name/{name}	List and detail
Decompile	GET /functions/{addr}/decompile, /functions/by-name/{name}/decompile	C pseudocode
Disassembly	GET /functions/{addr}/disassembly, /functions/by-name/{name}/disassembly	Assembly listing
Data	GET /data, /strings	Defined data and strings
Memory	GET /memory, /memory/blocks	Read bytes, list segments
Xrefs	GET /xrefs	Cross-references (to/from)
Structs	GET /structs	Data type structures
Symbols	GET /symbols, /imports, /exports	Symbol tables
Analysis	GET /analysis/callgraph, /analysis/dataflow	Static analysis
Write Ops	PATCH /functions/*, POST /data, POST /structs/*	Rename, annotate, create

See GHIDRA_HTTP_API.md for the complete API specification.

Container Modes

Headless Mode (Default)

Imports a binary, analyzes it, and starts the HTTP API server:

docker run -p 8192:8192 \
  -v ./samples:/binaries \
  mcghidra /binaries/sample.exe

Server Mode

Opens an existing project and program:

docker run -p 8192:8192 \
  -e MCGHIDRA_MODE=server \
  -v ./projects:/projects \
  mcghidra program_name

Analyze Mode

Imports and analyzes without starting HTTP server:

docker run \
  -e MCGHIDRA_MODE=analyze \
  -v ./samples:/binaries \
  -v ./projects:/projects \
  mcghidra /binaries/sample.exe

Shell Mode

Interactive debugging:

docker run -it \
  -e MCGHIDRA_MODE=shell \
  mcghidra

Environment Variables

Variable	Default	Description
MCGHIDRA_MODE	headless	Container mode (headless, server, analyze, shell)
MCGHIDRA_PORT	8192	HTTP API port
MCGHIDRA_MAXMEM	2G	JVM heap memory
PROJECT_DIR	/projects	Ghidra project directory
PROJECT_NAME	MCGhidra	Ghidra project name

Docker Compose

Use docker-compose for easier management:

# Development mode (hot-reload scripts)
docker compose --profile dev up mcghidra-dev

# Production mode
docker compose --profile prod up mcghidra

# Interactive shell
docker compose --profile debug run --rm mcghidra-shell

MCP Integration

The MCGhidra Python server includes Docker management tools:

# Check Docker status
await docker_status()

# Start container for a binary
await docker_start(binary_path="/path/to/binary.exe", port=8192)

# Wait for container to be ready
await docker_wait(port=8192, timeout=300)

# Automatic mode - starts container if no Ghidra available
await docker_auto_start(binary_path="/path/to/binary.exe")

# Get container logs
await docker_logs("mcghidra-server")

# Stop container
await docker_stop("mcghidra-server")

Building

# Using Make
make build

# Using Docker directly
docker build -t mcghidra:latest -f docker/Dockerfile .

# Build with specific Ghidra version
docker build -t mcghidra:latest \
  --build-arg GHIDRA_VERSION=11.4.2 \
  --build-arg GHIDRA_DATE=20250826 \
  -f docker/Dockerfile .

Troubleshooting

Container starts but API doesn't respond

Analysis takes time. Monitor progress with:

docker logs -f mcghidra-server

Port already in use

Stop existing containers:

docker stop $(docker ps -q --filter "name=mcghidra")

Memory issues with large binaries

Increase JVM heap:

docker run -e MCGHIDRA_MAXMEM=4G -p 8192:8192 mcghidra /binaries/large.exe

Permission denied on volumes

The container runs as user ghidra (UID 1001). Ensure volume permissions:

sudo chown -R 1001:1001 /path/to/binaries