Binary Ninja Headless Mcp

Binary Ninja Headless MCP

A headless [Binary Ninja](https://binary.ninja/) server that speaks [MCP](https://modelcontextprotocol.io/) (Model Context Protocol), giving AI agents full access to deep reverse-engineering workflows — disassembly, IL, patching, types, xrefs, and more — without a GUI.

Designed to run in the same Docker container as the agent runtime. No sidecars, no extra services.

This entire project---code, tests, and documentation---is 100% vibe coded.

Why

Existing Binary Ninja MCP servers are either GUI-bound or expose a limited tool surface. This server is headless-only and designed for agent-driven workflows in sandboxed VM/container environments: the agent gets full control over the analysis system, automating large parts of reverse engineering while you interactively discuss and steer the process.

The goal is an interface where agents can inspect, refine, and extend an analysis over time — updating types, symbols, and metadata, improving the analysis database incrementally, applying patches and iterating safely with undo/redo, and running custom scripts when a workflow needs something bespoke.

Features

• 181 tools across 36 feature groups: analysis, disassembly, IL, patching, undo/redo, types, workflows, memory, search, xrefs, scripting, and more.
• Read-only by default with safe mutation workflows (undo/redo, transactions).
• Scripting access via binja.eval and binja.call for anything the tool catalog doesn't cover.
• Stdio and TCP transports.
• Zero runtime dependencies beyond Binary Ninja itself.
• Fake backend mode for CI and development without a Binary Ninja license.

Prerequisites

• Python 3.11+
• A Binary Ninja installation with a headless-capable license and the binaryninja Python module importable in your runtime (for real analysis)
• For CI/development without Binary Ninja, use fake backend mode

Installation

git clone https://github.com/mrphrazer/bi