ida-pro-mcp
MCP ServerFreeAI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
Capabilities12 decomposed
dual-process mcp protocol bridging with ida pro
Medium confidenceImplements a separated proxy server and IDA Pro plugin architecture that routes MCP protocol requests through an HTTP/stdio dispatcher, preventing protocol overhead from blocking IDA's single-threaded UI. The proxy server handles MCP metadata locally while forwarding IDA-specific operations to the plugin's internal HTTP handler, with strict thread synchronization via @idasync decorators to ensure safe access to IDA's non-reentrant API.
Uses a dual-process model with explicit @idasync decorator-based thread synchronization to prevent protocol handling from blocking IDA's UI, unlike monolithic plugins that risk freezing the interface during network I/O or long-running analysis
Separates MCP protocol concerns from IDA's single-threaded runtime, enabling hot-reload and preventing UI freezes that plague traditional plugin architectures
ida pro decompilation and disassembly exposure via mcp tools
Medium confidenceExposes IDA Pro's decompilation engine (Hex-Rays) and disassembly capabilities as MCP tools that LLMs can invoke to analyze binary code. The system wraps IDA's internal decompilation APIs and disassembly functions, returning structured pseudocode and assembly listings that can be parsed and reasoned about by language models for vulnerability discovery and code understanding.
Wraps IDA's native decompilation and disassembly APIs through MCP tools, allowing LLMs to request analysis on-demand without manual IDA GUI interaction, with structured output suitable for LLM parsing and reasoning
Direct integration with IDA's Hex-Rays decompiler produces higher-quality pseudocode than standalone decompilers (Ghidra, Radare2) because it leverages IDA's superior type inference and control flow analysis
ida database persistence and state management across requests
Medium confidenceManages IDA database state across multiple MCP requests, ensuring that modifications (patches, comments, type changes) persist in the IDA database file. The system coordinates database writes with IDA's analysis engine, handling concurrent access patterns and ensuring data consistency without requiring manual database save operations between requests.
Coordinates IDA database writes across MCP requests, ensuring modifications persist without manual save operations while maintaining consistency with IDA's analysis engine
Automatic persistence eliminates manual save operations and reduces user error; alternative approaches (in-memory state, separate patch files) require manual synchronization and risk data loss
llm-friendly structured output formatting for binary analysis results
Medium confidenceFormats binary analysis results (disassembly, decompilation, metadata) in structured, LLM-friendly formats (JSON, markdown, plain text) that are optimized for language model consumption. The system abstracts IDA's raw output into parseable structures with clear delimiters, type information, and hierarchical organization, enabling LLMs to reliably extract and reason about analysis results without fragile text parsing.
Formats binary analysis results in LLM-optimized structures (JSON, markdown) with clear delimiters and type information, enabling reliable LLM parsing without fragile text extraction
Structured formatting enables reliable LLM parsing and reasoning; raw IDA output requires fragile regex-based extraction and is prone to parsing failures
cross-reference and data flow analysis through mcp resources
Medium confidenceExposes IDA Pro's cross-reference (xref) database and data flow analysis capabilities as MCP resources, enabling LLMs to query function call graphs, data dependencies, and memory access patterns. The system retrieves xref chains from IDA's internal database and formats them as navigable resource trees that LLMs can traverse to understand code relationships and data flow.
Exposes IDA's xref database as MCP resources with hierarchical traversal, allowing LLMs to navigate call graphs and data dependencies without manual database queries, leveraging IDA's superior xref accuracy vs. static analysis tools
IDA's xref database is more accurate than Ghidra or Radare2 for complex binaries due to superior type inference; MCP resource format enables LLMs to traverse relationships incrementally rather than loading entire graphs at once
function and symbol metadata retrieval with type information
Medium confidenceProvides MCP tools to retrieve function signatures, type declarations, imported symbols, and string constants from the IDA database. The system queries IDA's symbol table and type information system, returning structured metadata that includes function prototypes, parameter types, return types, and imported library functions, enabling LLMs to understand binary interfaces and data structures.
Queries IDA's native type information system and symbol table to provide structured function signatures and metadata, avoiding regex-based parsing and leveraging IDA's type inference engine for accuracy
IDA's type information system is more comprehensive than Ghidra for binaries with DWARF or PDB debug symbols; direct API access avoids parsing errors from manual symbol extraction
interactive binary patching and modification via mcp
Medium confidenceExposes IDA Pro's patching and modification capabilities through MCP tools, allowing LLMs to apply code patches, rename symbols, add comments, and modify type declarations in the IDA database. The system wraps IDA's patch APIs and database modification functions, with changes persisted to the IDA database file, enabling AI-assisted code annotation and binary modification workflows.
Integrates with IDA's native patching and database modification APIs, allowing LLMs to apply patches and annotations directly to the IDA database with full persistence, rather than generating separate patch files or scripts
Direct IDA database modification enables atomic, persistent changes with immediate validation; alternative approaches (generating patch files, external binary modification) lack integration with IDA's analysis and require manual synchronization
headless binary analysis via idalib server for automation
Medium confidenceProvides a headless server mode using IDA's idalib library that enables automated, non-interactive binary analysis without the IDA GUI. The system spawns an idalib_server process that exposes the same MCP tools as the interactive plugin, allowing batch processing and CI/CD integration of binary analysis tasks without requiring a running IDA Pro instance or GUI.
Implements a separate idalib_server process that exposes the same MCP interface as the interactive plugin, enabling headless automation without GUI dependencies while maintaining API compatibility with interactive workflows
Headless idalib mode enables batch processing and CI/CD integration that GUI-based IDA cannot support; maintains full API compatibility with interactive mode, avoiding separate code paths for automation vs. interactive use
unsafe operations with @unsafe decorator gating (debugging and code execution)
Medium confidenceProvides gated access to dangerous operations (breakpoint manipulation, register inspection, memory modification, arbitrary Python execution) through an @unsafe decorator system that requires explicit opt-in via configuration flags. The system enforces safety boundaries by requiring users to explicitly enable unsafe operations, preventing accidental execution of dangerous commands while allowing advanced users to leverage IDA's debugging and scripting capabilities for complex analysis tasks.
Implements explicit @unsafe decorator-based gating for dangerous operations, requiring configuration opt-in to prevent accidental execution while enabling advanced users to leverage IDA's debugging and scripting capabilities
Decorator-based safety gating provides explicit opt-in for dangerous operations, preventing accidental misuse while maintaining full access for advanced users; alternative approaches (blanket disabling or no gating) either limit functionality or create security risks
multi-client mcp configuration generation and installation
Medium confidenceProvides automated configuration generation and installation for 30+ MCP clients (Claude Desktop, VS Code, Cursor, Windsurf, etc.) through a single --install command. The system generates appropriate JSON configuration files for each client, handling client-specific setup requirements and enabling seamless integration with diverse AI development environments without manual configuration.
Automates configuration generation for 30+ MCP clients with a single command, handling client-specific setup requirements and eliminating manual JSON editing for diverse development environments
Single-command installation across 30+ clients eliminates manual configuration burden; alternative approaches (per-client manual setup) scale poorly and create maintenance overhead
rpc and decorator-based api abstraction for ida operations
Medium confidenceImplements a decorator-based RPC system (@idasync, @unsafe) that abstracts IDA Pro's non-reentrant, single-threaded API into a type-safe, callable interface suitable for MCP tool exposure. The system uses Python decorators to enforce thread synchronization, safety constraints, and type validation, automatically generating MCP tool schemas from decorated function signatures and handling serialization/deserialization of IDA objects.
Uses Python decorators (@idasync, @unsafe) to abstract IDA's non-reentrant API into a type-safe RPC interface with automatic MCP schema generation, enforcing thread synchronization and safety constraints at the decorator level
Decorator-based abstraction enables developers to define new operations without manual schema generation or RPC boilerplate; alternative approaches (manual schema definition, code generation) require more developer effort and are error-prone
stdio and http transport mode selection for mcp protocol
Medium confidenceSupports multiple transport modes (stdio, HTTP, SSE) for MCP protocol communication, allowing clients to choose the transport that best fits their environment. The system uses the zeromcp library to abstract transport details, enabling the same MCP server implementation to work with stdio-based clients (Claude Desktop, command-line tools) and HTTP-based clients (web interfaces, remote connections) without code changes.
Abstracts MCP transport details via zeromcp library, enabling the same server implementation to support stdio, HTTP, and SSE transports without code duplication, allowing clients to choose transport based on their environment
Transport abstraction via zeromcp eliminates code duplication and enables flexible deployment; alternative approaches (separate implementations per transport) create maintenance burden and inconsistency
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with ida-pro-mcp, ranked by overlap. Discovered automatically through the match graph.
ida-pro-mcp
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
MCP Toolbox for Databases
** - Open source MCP server specializing in easy, fast, and secure tools for Databases.
@theia/ai-mcp
Theia - MCP Integration
arcade-mcp
The best way to create, deploy, and share MCP Servers
memory-bank-mcp
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
DINO-X
** - Advanced computer vision and object detection MCP server powered by Dino-X, enabling AI agents to analyze images, detect objects, identify keypoints, and perform visual understanding tasks.
Best For
- ✓reverse engineering teams integrating IDA Pro with AI assistants
- ✓security researchers automating binary analysis workflows
- ✓developers building custom MCP clients for IDA
- ✓security researchers performing AI-assisted vulnerability analysis
- ✓reverse engineers seeking LLM explanations of complex binary code
- ✓malware analysts automating initial code understanding
- ✓teams performing iterative binary analysis with AI assistance
- ✓researchers building analysis pipelines that accumulate insights
Known Limitations
- ⚠Dual-process architecture adds ~50-200ms latency per request due to inter-process communication overhead
- ⚠Thread synchronization via @idasync decorator requires all IDA API calls to be explicitly decorated, increasing development friction
- ⚠Local port-based communication limits remote analysis scenarios without additional networking setup
- ⚠Decompilation quality depends on IDA's analysis depth; incomplete or incorrect analysis produces misleading pseudocode
- ⚠Hex-Rays decompiler requires a commercial IDA Pro license; free IDA Home edition lacks decompilation
- ⚠Large functions (>1000 instructions) may produce verbose output exceeding LLM context windows
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
Last commit: Apr 21, 2026
About
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
Categories
Alternatives to ida-pro-mcp
Are you the builder of ida-pro-mcp?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →