# GhydraMCP Quick Start Guide

## What is GhydraMCP?

GhydraMCP is a complete reverse engineering platform that combines:
- **Ghidra** - NSA's powerful binary analysis tool
- **Docker** - Containerized, reproducible analysis environment
- **HTTP REST API** - HATEOAS-compliant REST interface
- **MCP Server** - FastMCP-based Model Context Protocol integration
- **ARM Firmware Support** - Tools for analyzing raw embedded firmware

## 5-Minute Quick Start

### 1. Analyze a Standard Binary (ELF/PE/Mach-O)

```bash
cd /home/rpm/claude/ghydramcp/GhydraMCP

# Build the Docker image (one time)
docker build -t ghydramcp:latest -f docker/Dockerfile .

# Analyze any standard binary
docker run -d --name my-analysis \
  -p 8192:8192 \
  -v $(pwd)/binaries:/binaries \
  ghydramcp:latest \
  /binaries/your-binary

# Wait ~20 seconds for analysis, then access HTTP API
curl http://localhost:8192/
curl http://localhost:8192/functions | jq '.functions[] | {name, address}'
curl http://localhost:8192/functions/<address>/decompile
```

### 2. Analyze ARM Firmware (Raw Binary)

```bash
# Step 1: Create ELF wrapper
python3 docker/arm_firmware_prep.py \
  your-firmware.bin \
  binaries/your-firmware.elf \
  0x00000000

# Step 2: Analyze normally
docker run -d --name arm-firmware \
  -p 8192:8192 \
  -v $(pwd)/binaries:/binaries \
  ghydramcp:latest \
  /binaries/your-firmware.elf
```

### 3. Use the MCP Server

```bash
# The MCP server is located at:
cd /home/rpm/claude/ghydramcp/GhydraMCP
./launch.sh

# Or with uv:
cd GhydraMCP && uv run ghydramcp
```

## HTTP API Overview

Once analysis completes, the API is available at `http://localhost:8192/`:

### Core Endpoints

```bash
# Program information
GET /program

# Functions
GET /functions                    # List all functions
GET /functions/<address>          # Function details
GET /functions/<address>/decompile    # Decompiled C code
GET /functions/<address>/disassembly  # Assembly listing
GET /functions/<address>/variables    # Local variables

# Analysis
GET /analysis/callgraph?name=main&max_depth=3
GET /analysis/dataflow?address=<addr>&direction=forward

# Memory
GET /memory/<address>?length=256&format=hex
POST /memory/<address>   # Write bytes

# Data & Structures
GET /data/strings
GET /structs
GET /xrefs?to_addr=<addr>
```

### Response Format (HATEOAS)

All responses include navigation links:

```json
{
  "success": true,
  "result": {
    "name": "main",
    "address": "00101380",
    "signature": "int main(void)"
  },
  "_links": {
    "self": "/functions/00101380",
    "decompile": "/functions/00101380/decompile",
    "disassembly": "/functions/00101380/disassembly"
  }
}
```

## MCP Tools Overview

Use with Claude Code or any MCP client:

```python
# Functions
functions_list(port=8192, page_size=50)
functions_decompile(address="00101380", port=8192)
functions_get(name="main", port=8192)

# Analysis
analysis_get_callgraph(name="main", max_depth=3, port=8192)
analysis_get_dataflow(address="00101380", direction="forward", port=8192)

# Data
data_list_strings(port=8192, grep="password")
structs_list(port=8192)

# Docker Management
docker_status()
docker_start(binary_path="/path/to/binary", port=8192)
docker_stop(name_or_id="container-name")
docker_logs(name_or_id="container-name", tail=100)
```

## Common Workflows

### Find Interesting Functions

```bash
# List all functions
curl http://localhost:8192/functions | jq '.functions[].name'

# Search for crypto-related functions
curl http://localhost:8192/functions | jq '.functions[] | select(.name | test("crypt|hash|encrypt"; "i"))'

# Get call graph from main
curl 'http://localhost:8192/analysis/callgraph?name=main&max_depth=2' | jq .
```

### Analyze Strings

```bash
# List all strings
curl http://localhost:8192/data/strings | jq '.strings[] | {address, value}'

# Find passwords/keys
curl http://localhost:8192/data/strings | jq '.strings[] | select(.value | test("password|key|secret"; "i"))'
```

### Decompile Entry Point

```bash
# Get program entry point
ENTRY=$(curl -s http://localhost:8192/program | jq -r '.program.entryPoint')

# Decompile it
curl "http://localhost:8192/functions/$ENTRY/decompile" | jq -r '.result'
```

## Docker Management

### List Running Containers

```bash
docker ps | grep ghydramcp
```

### View Logs

```bash
docker logs -f my-analysis
```

### Stop Analysis

```bash
docker stop my-analysis
docker rm my-analysis
```

### Persistent Projects

```bash
# Mount project directory for persistence
docker run -d --name persistent \
  -p 8192:8192 \
  -v $(pwd)/projects:/projects \
  -v $(pwd)/binaries:/binaries \
  -e PROJECT_NAME=MyProject \
  ghydramcp:latest \
  /binaries/my-binary

# Projects are saved in ./projects/MyProject/
```

## Troubleshooting

### Import Failed

```bash
# Check logs
docker logs my-analysis 2>&1 | grep ERROR

# Common issues:
# 1. Binary not found → Check volume mount path
# 2. AutoImporter failed → Use arm_firmware_prep.py for raw binaries
# 3. Unsupported format → Check file type with `file binary`
```

### Script Errors

```bash
# If you see "Failed to get OSGi bundle" errors
# Fix script permissions in running container:
docker exec my-analysis sh -c 'chmod 644 /opt/ghidra/scripts/*.java'

# Then restart the analysis
```

### Port Already in Use

```bash
# Use different port
docker run -d --name analysis2 \
  -p 8193:8192 \
  -v $(pwd)/binaries:/binaries \
  ghydramcp:latest \
  /binaries/binary

# Access at http://localhost:8193/
```

## Examples

### Example 1: Analyze Test Binary

```bash
# Create simple test binary
cat > test.c << 'EOF'
#include <stdio.h>
int secret_value = 0x42;
void hidden() { printf("Hidden: %d\n", secret_value); }
int main() { printf("Hello!\n"); return 0; }
EOF

gcc -o binaries/test test.c

# Analyze
docker run -d --name test-analysis \
  -p 8192:8192 \
  -v $(pwd)/binaries:/binaries \
  ghydramcp:latest \
  /binaries/test

# Find hidden function
sleep 15
curl http://localhost:8192/functions | jq '.functions[] | select(.name == "hidden")'
```

### Example 2: Cisco Phone Firmware

```bash
# Prepare firmware
python3 docker/arm_firmware_prep.py \
  cisco-firmware/P003-8-12-00.bin \
  binaries/cisco.elf \
  0x00000000

# Analyze
docker run -d --name cisco \
  -p 8192:8192 \
  -v $(pwd)/binaries:/binaries \
  ghydramcp:latest \
  /binaries/cisco.elf

# Explore
sleep 30
curl http://localhost:8192/functions | jq '.functions | length'  # Function count
curl http://localhost:8192/data/strings | jq '.strings[] | select(.value | test("SIP|RTP"))'
```

## Next Steps

- **Read ARM_FIRMWARE_SUCCESS.md** for ARM firmware details
- **Check docker/README_ARM_SOLUTION.md** for advanced ARM workflows
- **Explore MCP integration** with Claude Code
- **Build automations** using the HTTP API

## Project Structure

```
GhydraMCP/
├── docker/
│   ├── Dockerfile                 # Main Docker image
│   ├── entrypoint.sh              # Container entry point
│   ├── GhydraMCPServer.java       # HTTP API server (1724 lines)
│   ├── ImportRawARM.java          # Raw binary import script
│   ├── arm_firmware_prep.py       # ELF wrapper tool ⭐
│   └── README*.md                 # Documentation
├── src/ghydramcp/                 # MCP server implementation
│   ├── __init__.py
│   ├── server.py                  # FastMCP server
│   └── mixins/                    # Modular functionality
│       ├── docker.py              # Docker management
│       ├── instances.py           # Instance registry
│       ├── functions.py           # Function operations
│       ├── analysis.py            # Analysis tools
│       └── ...
├── binaries/                      # Binary files for analysis
├── projects/                      # Ghidra project persistence
└── launch.sh                      # MCP server launcher
```

Happy reverse engineering! 🔍