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ImHex MCP Integration

by jmpnop

ImHex MCP Integration

πŸ”§ AI-Powered Binary Analysis with ImHex

License ImHex Version Status

CI Tests Python Performance

Model Context Protocol server enabling AI assistants like Claude to analyze binary files programmatically

⚑ Quick Start β€’ Features β€’ Documentation β€’ Testing β€’ Performance


πŸ’‘ Overview

ImHex MCP provides a production-ready Python MCP server that connects AI assistants to ImHex, the powerful hex editor. This enables autonomous binary analysis, malware inspection, firmware analysis, and reverse engineering workflows.

What's Included

  • πŸ”Œ MCP Server - 40+ tools for binary analysis (Python)

  • πŸ“¦ ImHex Patches - 10 patches adding network interface & queue-based file opening

  • ⚑ Performance Optimizations - 18% faster with caching, compression, async operations

  • πŸ§ͺ Comprehensive Testing - 255/255 tests passing (100% success rate)

  • πŸ“Š Production Features - Prometheus metrics, circuit breakers, rate limiting

  • πŸ“– Complete Documentation - API docs, architecture diagrams, guides


🌟 Features

Core Capabilities

File Operations

  • Queue-based async file opening (no manual GUI interaction!)

  • Multi-file management (list, switch, close)

  • Binary data read/write with multiple encodings

Analysis Tools

  • Pattern searching (hex, text, regex) with pagination

  • Multi-architecture disassembly (x86, ARM, MIPS, etc.)

  • Hash calculation (MD5, SHA-1, SHA-256, SHA-384, SHA-512)

  • String extraction (ASCII, UTF-16)

  • File type detection (30+ magic number signatures)

  • Entropy analysis for encryption detection

  • Binary diff with Myers algorithm

Batch Operations

  • Multi-file pattern search

  • Batch hashing

  • Comparative analysis across files

Advanced Features

  • Chunked reading for large files (100MB+)

  • Data export (binary, hex, base64)

  • Bookmark management

  • Pattern Language integration

Python Library Features

Performance (17 improvements, 100% complete)

  • 18% faster overall (0.217s β†’ 0.178s)

  • 98.9% bandwidth reduction with zstd compression

  • 28% faster cache operations with orjson + LRU caching

  • 25% lock reduction with optimized critical sections

  • 97% faster JSON serialization

Production Ready

  • Async/await support with connection pooling

  • Response caching with LRU eviction

  • Retry logic with exponential backoff

  • Circuit breaker pattern

  • Prometheus metrics export

  • Rate limiting & input validation

  • 100% type hints with mypy compliance


πŸš€ Quick Start

Prerequisites

  • macOS or Linux

  • Python 3.10+ (tested on 3.10, 3.11, 3.12, 3.14)

  • CMake 3.25+

  • Git

  • C++ compiler (GCC 11+ or Clang 14+)

One-Command Setup

git clone --recurse-submodules https://github.com/jmpnop/imhexMCP.git
cd imhexMCP
./setup-imhex-mcp.sh

This script:

  1. Clones ImHex repository

  2. Applies all 10 patches automatically

  3. Shows build instructions

Build ImHex

cd ImHex
mkdir -p build && cd build
cmake .. -DCMAKE_BUILD_TYPE=Release
cmake --build . -j$(sysctl -n hw.ncpu)  # macOS
# cmake --build . -j$(nproc)            # Linux

Setup MCP Server

cd ../../mcp-server
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Start ImHex & Enable Network Interface

  1. Run ImHex: ./ImHex/build/imhex

  2. Go to Settings β†’ General

  3. Enable Network Interface

  4. Restart ImHex

Network interface listens on localhost:31337

Configure Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "imhex": {
      "command": "/ABSOLUTE/PATH/TO/imhexMCP/mcp-server/venv/bin/python",
      "args": ["/ABSOLUTE/PATH/TO/imhexMCP/mcp-server/server.py"]
    }
  }
}

Important: Use absolute paths, not relative!

Verify Setup

cd imhexMCP
./verify-setup.sh  # Should show 15/15 passed

Test with Claude

In Claude, ask:

Can you check if ImHex is working? Use the imhex_get_capabilities tool.

πŸ“– Key Endpoints

The ImHex MCP plugin provides 28 network endpoints. Here are the most important:

Endpoint

Description

Example Usage

file/open

Queue-based async file opening

Open firmware for analysis

data/read

Read hex data with encoding options

Extract file headers

data/search

Pattern search (hex/text/regex)

Find magic numbers

data/hash

Calculate file hashes

Verify file integrity

data/strings

Extract ASCII/UTF-16 strings

Find embedded URLs

data/magic

File type detection

Identify unknown files

data/disassemble

Multi-arch disassembly

Reverse engineer code

batch/search

Multi-file pattern search

Malware analysis

batch/hash

Batch hash calculation

Forensic analysis

data/entropy

Shannon entropy analysis

Detect encryption

Full reference: See ENDPOINTS.md for all 28 endpoints with detailed parameters.


πŸ§ͺ Testing

Test Suite

255 tests, 100% passing βœ…

# Run all tests
pytest

# Run with coverage
pytest --cov=lib --cov=mcp-server --cov-report=term-missing

# Run specific test types
pytest -m unit          # Unit tests only
pytest -m integration   # Integration tests (requires ImHex)
pytest -m compression   # Compression tests

Test Organization

Tests are organized with pytest markers:

  • @pytest.mark.unit - Fast unit tests (no dependencies)

  • @pytest.mark.integration - Requires running ImHex

  • @pytest.mark.slow - Tests taking >1 second

  • @pytest.mark.compression - Compression module tests

Coverage

Current coverage by module:

  • error_handling.py: 94%

  • advanced_features.py: 96%

  • advanced_cache.py: 92%

  • batching.py: 90%

  • security.py: 82%

Target: 80%+ coverage for all modules


⚑ Performance

Overall Improvements

17/17 optimizations complete (100%)

Metric

Baseline

Optimized

Improvement

Total runtime

0.217s

0.178s

18% faster

Function calls

443,231

371,908

16% fewer

Cache operations

0.169s

~0.127s

28% faster

JSON serialization

0.072s

0.002s

97% faster

Lock overhead

24,044 calls

18,024

25% reduction

Key Optimizations

Round 1: orjson + LRU Caching + Fast Size Estimation

  • orjson for 2-3x faster JSON (24x per call in practice)

  • LRU-cached key generation with @lru_cache(maxsize=1000)

  • Direct length calculations for size estimation

Round 2: Compression + Async Lock Optimization

  • Compression buffer reuse with zlib.compressobj()

  • Adaptive compression levels (based on data size)

  • CacheEntry creation moved outside critical section

  • 25% reduction in time.time() calls under lock

Compression Performance

  • 98.9% bandwidth reduction with zstd

  • Net benefit: 227ms saved per 100 requests (@ 100 Mbps)

  • Overhead: <1ms compression time for most payloads

  • Cache speedup: 21,670x faster for metadata

Full details: See lib/PERFORMANCE_RESULTS.md and lib/OPTIMIZATION_RESULTS_ROUND2.md


πŸ“‚ Project Structure

imhexMCP/
β”œβ”€β”€ lib/                          # Core Python library (production-ready)
β”‚   β”œβ”€β”€ async_client.py          # Main async client
β”‚   β”œβ”€β”€ cache.py                 # Response caching (LRU + orjson)
β”‚   β”œβ”€β”€ data_compression.py      # Adaptive compression
β”‚   β”œβ”€β”€ connection_pool.py       # Connection pooling
β”‚   β”œβ”€β”€ request_batching.py      # Batch operations
β”‚   β”œβ”€β”€ error_handling.py        # Retry logic & circuit breaker
β”‚   β”œβ”€β”€ security.py              # Input validation & sanitization
β”‚   β”œβ”€β”€ metrics.py               # Prometheus metrics
β”‚   └── test_*.py                # Test suite (255 tests)
β”‚
β”œβ”€β”€ mcp-server/                  # MCP server implementation
β”‚   β”œβ”€β”€ server.py                # Main MCP server (2381 lines)
β”‚   β”œβ”€β”€ enhanced_client.py       # Enhanced client wrapper
β”‚   β”œβ”€β”€ imhex_cli.py            # CLI interface
β”‚   └── benchmark_*.py          # Performance benchmarks
β”‚
β”œβ”€β”€ patches/                     # Git patches for ImHex
β”‚   β”œβ”€β”€ PATCH_MANIFEST.md        # Patch documentation
β”‚   β”œβ”€β”€ 0001-feat-*.patch        # Queue-based file opening
β”‚   └── 0007-0014-*.patch        # Complete MCP plugin
β”‚
β”œβ”€β”€ ImHex/                       # ImHex submodule (1.38.0.WIP)
β”‚   └── build/imhex             # ImHex binary
β”‚
β”œβ”€β”€ docs/                        # Comprehensive documentation
β”‚   β”œβ”€β”€ LIBRARY-ARCHITECTURE.md # 15+ Mermaid diagrams
β”‚   β”œβ”€β”€ API.md                  # API reference
β”‚   └── ...
β”‚
β”œβ”€β”€ CLAUDE.md                    # AI assistant context
β”œβ”€β”€ README.md                    # This file
└── setup-imhex-mcp.sh          # Automated setup script

πŸ—οΈ Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   User / AI         β”‚  Analyze binaries via Claude
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
           β”‚ MCP Protocol (stdio)
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   MCP Server        β”‚  Python server (40+ tools)
β”‚   - Request handlingβ”‚  β€’ Async operations
β”‚   - Caching         β”‚  β€’ Connection pooling
β”‚   - Compression     β”‚  β€’ Performance optimization
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
           β”‚ JSON-RPC over TCP
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   ImHex             β”‚  Hex editor with network interface
β”‚   Network Interface β”‚  β€’ Listens on localhost:31337
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
           β”‚ Plugin API
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   MCP Plugin        β”‚  C++ plugin (patched)
β”‚   - File operations β”‚  β€’ Queue-based file opening
β”‚   - Data analysis   β”‚  β€’ 28 network endpoints
β”‚   - Batch ops       β”‚  β€’ Enhanced error handling
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
           β”‚ ImHex APIs
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   ImHex Core        β”‚
β”‚   - FileProvider    β”‚
β”‚   - Pattern Engine  β”‚
β”‚   - Crypto Library  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ“Š Improvements Summary

Status: 17/17 complete (100%) πŸŽ‰

Critical Improvements

  1. βœ… Pytest Framework - Professional test suite (255 tests, 100% passing)

  2. βœ… CI/CD Pipeline - GitHub Actions (tests, security, lint, benchmarks)

  3. βœ… Type Hints - 100% mypy compliance

  4. βœ… Python 3.14 Compatibility - All tests passing

  5. βœ… Test Suite Fixes - From 86% to 100% pass rate

Performance & Optimization

  1. βœ… Performance Profiling - cProfile analysis, bottleneck identification

  2. βœ… Optimization Round 1 - orjson, LRU caching (18% faster)

  3. βœ… Optimization Round 2 - Compression, async locks (25% lock reduction)

Security & Quality

  1. βœ… Security Hardening - Rate limiting, input validation, SQL injection prevention

  2. βœ… Code Quality Tools - Black, flake8, mypy

  3. βœ… Centralized Config - Pydantic-based validation

Documentation

  1. βœ… Sphinx API Documentation - 100% module coverage (21 modules)

  2. βœ… Architecture Diagrams - 15+ Mermaid diagrams

  3. βœ… Property-Based Testing - Hypothesis integration

  4. βœ… Prometheus Metrics - Production monitoring

Full details: See IMPROVEMENTS-SUMMARY.md


πŸ’» Platform Support

Tested Platforms

  • βœ… macOS ARM64 (Apple Silicon) - Native build

  • βœ… macOS x86_64 (Intel) - Full support

Should Work (Untested)

  • ⚠️ Linux x86_64 - Standard ImHex build process

  • ⚠️ Windows - Via MSYS2/MinGW64


🀝 Contributing

We welcome contributions!

Areas for Help

  • πŸ› Bug fixes and issue reports

  • πŸ“ Documentation improvements

  • πŸ§ͺ Testing on different platforms

  • ✨ New features and endpoints

Contribution Workflow

  1. Fork this repository

  2. Clone ImHex and apply patches

  3. Make your changes

  4. Run tests: pytest

  5. Generate new patches: git format-patch origin/master..HEAD

  6. Submit PR with updated patches


πŸ“„ Documentation

Document

Description

CLAUDE.md

Complete project context for AI assistants

patches/PATCH_MANIFEST.md

Patch documentation and application order

docs/LIBRARY-ARCHITECTURE.md

Architecture diagrams and design

lib/PERFORMANCE_RESULTS.md

Performance optimization results

TESTING.md

Testing guide and best practices

docs/SECURITY.md

Security guidelines

docs/API.md

API reference



πŸ“ž Support

Get Help

Report Issues

Please include:

  • ImHex commit hash

  • Operating system and architecture

  • Python version

  • Error messages

  • Steps to reproduce


πŸ“„ License

GPL-2.0 - Same as ImHex

This project provides a Model Context Protocol server and patches for ImHex, following its licensing terms. See LICENSE for full text.


πŸ™ Credits


⭐ Star this repository if you find it useful!

Made with ❀️ for the reverse engineering community

Report Bug Β· Request Feature Β· Documentation


Version 2.0.0 | Last Updated: 2025-11-15 | Status: βœ… Production Ready

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