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Headless IDA MCP Server

MCP Server

Remote binary analysis via headless IDA and MCP

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Updated 18 days ago

About

Provides an MCP interface to run IDA Pro in headless mode, allowing remote manipulation of functions, variables and other analysis artifacts from a CLI or client application.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Headless IDA MCP Server in Action

Overview

The Headless IDA MCP Server bridges the gap between automated binary analysis and conversational AI assistants by exposing a rich set of IDA Pro functionalities through the Model Context Protocol (MCP). Rather than relying on the interactive GUI, this server runs IDA Pro in headless mode—leveraging the binary from the headless-ida library—to perform complex reverse‑engineering tasks on binaries supplied by an AI client. The result is a scalable, API‑driven workflow that lets developers query, modify, and interrogate binaries as part of a larger AI‑powered analysis pipeline.

What Problem It Solves

Reverse engineering traditionally requires manual interaction with a GUI, which hampers automation and integration into CI/CD or research workflows. The Headless IDA MCP Server eliminates this limitation by turning the powerful features of IDA Pro into stateless, network‑accessible tools. Developers can now invoke function discovery, variable renaming, cross‑reference extraction, and other IDA operations directly from an AI assistant or script, without opening the heavy GUI. This approach dramatically reduces analysis time and enables large‑scale batch processing of binaries.

Core Capabilities

  • Function & Variable Management – Create, rename, or delete functions and variables within the binary’s symbol table.
  • Cross‑Reference Exploration – Retrieve call graphs, data references, and other linkage information to understand program flow.
  • Disassembly & Analysis Retrieval – Access disassembled instructions, comments, and analysis metadata for any address range.
  • Custom Script Execution – Run user‑defined Python scripts inside IDA’s environment, allowing bespoke transformations or data extraction.
  • Session Control – Open and close binary analysis sessions programmatically, managing resources efficiently in a headless context.

These features are exposed as MCP tools and prompts, allowing an AI assistant to compose complex queries such as “Show me all functions that call ” or “Rename the variable at 0x401020 to ”.

Use Cases & Real‑World Scenarios

  • Automated Malware Analysis – A security analyst can feed a batch of suspicious binaries to the server and ask an AI assistant to identify API calls, extract obfuscated strings, or map control flow automatically.
  • Continuous Integration for Embedded Firmware – CI pipelines can trigger the server to analyze firmware images, report on function coverage or detect unauthorized imports before deployment.
  • Educational Platforms – Instructors can provide students with a sandboxed MCP server that allows hands‑on reverse engineering without installing IDA Pro locally.
  • Research & Discovery – Researchers can integrate the server into larger symbolic execution or fuzzing frameworks, querying analysis results in real time.

Integration with AI Workflows

Because the server speaks MCP, any client that understands the protocol—such as Claude or custom AI agents—can seamlessly request analysis operations. The server’s transport options ( or ) make it flexible for both browser‑based inspectors and terminal clients. Developers can embed the server in a microservice architecture, exposing its tools through higher‑level APIs or orchestrating them with workflow engines like Prefect or Airflow. The headless execution model also ensures that the server can run on CI workers, Docker containers, or cloud VMs without GUI dependencies.

Unique Advantages

  • Headless Execution – Eliminates the need for a graphical environment, enabling deployment in headless servers and containers.
  • MCP‑First Design – Provides a standardized, language‑agnostic interface that integrates smoothly with any AI assistant or toolchain.
  • Extensibility – Built on the headless-ida library, it can be extended with additional IDA plugins or custom Python scripts without modifying the core server.
  • Performance – Running analysis in a dedicated process minimizes resource contention and allows parallel processing of multiple binaries.

In summary, the Headless IDA MCP Server empowers developers and analysts to harness the full power of IDA Pro in an automated, AI‑driven context. By converting complex reverse engineering tasks into simple protocol calls, it transforms binary analysis from a manual endeavor into an orchestrated, scalable workflow.