BinjaLattice MCP Server

BinjaLattice – Bridging Binary Ninja with Model Context Protocol

BinjaLattice addresses the challenge of integrating sophisticated binary analysis tools into AI‑driven workflows. Traditional reverse‑engineering environments expose a wealth of information—pseudocode, disassembly, variable names, cross‑references—but accessing that data programmatically has been cumbersome. By implementing the Model Context Protocol (MCP), BinjaLattice turns a Binary Ninja instance into a fully‑featured MCP server, allowing external AI assistants to query and modify the analysis database over HTTP. This capability removes the need for custom scripting or manual export/import steps, enabling seamless, real‑time interaction between an AI assistant and the binary under study.

At its core, BinjaLattice provides a secure, token‑based authentication mechanism and optional TLS encryption to safeguard communication. Once authenticated, the server exposes a rich set of tools that mirror common reverse‑engineering tasks: listing functions, retrieving binary metadata, updating function or variable names, adding comments, and extracting disassembly or pseudocode. Developers can therefore let an AI assistant rename a function based on semantic analysis, annotate suspicious code paths, or fetch cross‑references for automated vulnerability scanning—all without leaving the Binary Ninja UI.

Key capabilities include:

• Binary Context Export – Pull structured data such as function lists, variable tables, and binary metadata directly into the AI’s context.
• Database Modification – Apply changes back to Binary Ninja (e.g., rename functions, add comments) through simple MCP calls.
• Token Lifecycle Management – Automatic expiration and renewal of authentication tokens reduce manual overhead and improve security.
• Extensible Tool Set – The server’s tool list can be expanded to expose additional Binary Ninja APIs, making it adaptable to evolving reverse‑engineering needs.

Typical use cases span automated vulnerability assessment pipelines, where an AI assistant scans for patterns and then updates the Binary Ninja database with findings; educational tools that generate annotated disassembly for teaching; and continuous integration workflows that validate binary changes against a baseline. By integrating directly into MCP‑compatible clients, BinjaLattice fits naturally into existing AI assistant ecosystems such as Claude or LlamaIndex, allowing developers to compose complex analysis scripts that blend human intuition with machine‑powered insights.

In summary, BinjaLattice transforms Binary Ninja into a programmable, secure MCP server. It unlocks the full power of AI assistants to interrogate and shape binary analyses in real time, dramatically accelerating reverse‑engineering tasks while maintaining strict security controls.