IDA Pro MCP Server

The IDA Pro MCP server bridges the gap between a user’s reverse‑engineering workflow in IDA Pro and an AI assistant that follows the Model Context Protocol. By exposing a rich set of API calls, it allows an AI to query and manipulate the current IDA database in real time. This solves a common pain point for reverse engineers: the need to repeatedly switch between the disassembly, pseudocode, and data structures while consulting an AI for insights or automation. Instead of manually copying function names, addresses, or type definitions into prompts, the AI can directly call server endpoints to retrieve up‑to‑date information and even modify the database.

At its core, the server offers a comprehensive toolbox for inspecting binary artifacts. Developers can request metadata about the entire database, enumerate functions, globals, imports, strings, and structures, or drill down to a specific function by name or address. The decompilation and disassembly endpoints provide both high‑level pseudocode and low‑level assembly, mirroring the dual views available in IDA. Cross‑reference queries (xrefs to an address or struct field) and caller/callee lists enable the AI to map control flow without manual navigation. Type‑related operations—such as declaring C types, renaming variables or functions, and setting prototypes—give the assistant the ability to refine the database schema on the fly.

The server also supports editing operations that go beyond passive inspection. Comments can be added to any address, variables renamed or typed, and even stack frame variables created programmatically. Patch instructions can be assembled at a given address, allowing the AI to suggest or apply quick fixes. For analysts working with known global values, endpoints exist to read those values by name or address, facilitating data‑driven reasoning. The ability to query structure details and create new stack frame variables empowers the assistant to generate accurate, context‑aware suggestions for complex data layouts.

Real‑world scenarios that benefit from this MCP include automated malware analysis, where an AI can quickly enumerate all imports and flag suspicious patterns; firmware reverse engineering, where the assistant can help map out peripheral registers by inspecting structures; and code‑review automation, where the AI suggests renames or type corrections to improve readability. In collaborative settings, multiple analysts can rely on the server to keep the IDA database in sync with AI‑generated insights, reducing repetitive manual steps and accelerating the analysis cycle.

Integrating this MCP into existing AI workflows is straightforward: an assistant configured to speak MCP can send JSON requests to the server’s endpoints, receive structured responses, and incorporate them into prompts or actions. Because the server mirrors IDA’s internal API surface, developers can compose sophisticated queries—such as “list all functions that call a specific imported function” or “decompile the function at the current cursor”—and let the AI orchestrate them. The result is a seamless, programmatic bridge that turns an interactive reverse‑engineering tool into a data source and command interface for intelligent assistants.