IDA Pro MCP
MCP ServerFree** - MCP Server for automated reverse engineering with IDA Pro.
Capabilities10 decomposed
ida pro binary analysis via mcp protocol
Medium confidenceExposes IDA Pro's native binary analysis engine through the Model Context Protocol, allowing Claude and other LLM clients to query disassembly, control flow graphs, function metadata, and cross-references without direct IDA GUI interaction. Uses MCP's JSON-RPC transport layer to serialize IDA's C++ analysis results into structured data that LLMs can reason about and act upon.
Bridges IDA Pro's proprietary C++ analysis engine to LLMs via MCP protocol, enabling Claude to directly query and reason about disassembly without requiring developers to write custom IDA Python plugins or REST wrappers
Provides deeper binary analysis context than generic disassemblers (Ghidra, Radare2) by leveraging IDA's superior type inference and cross-reference tracking, while standardizing access through MCP instead of proprietary APIs
function disassembly retrieval with context
Medium confidenceRetrieves the complete disassembly of a function by address or name, including operand resolution, cross-references, and metadata like function boundaries, calling conventions, and stack frame information. Implements IDA's internal function analysis to reconstruct human-readable assembly with symbolic references resolved.
Leverages IDA's internal function boundary detection and type inference to return semantically complete function disassembly with resolved operands, rather than raw instruction dumps
More accurate than Ghidra's decompiler for complex calling conventions and indirect references because IDA's heuristics are more mature; faster than manual Radare2 scripting
cross-reference graph traversal
Medium confidenceQueries IDA's cross-reference database to build call graphs, data flow paths, and dependency chains between functions and data structures. Traverses xref edges (code-to-code, code-to-data, data-to-data) to identify relationships and propagate analysis context through the binary.
Exposes IDA's internal xref database as queryable graph structures, allowing LLMs to perform multi-hop reasoning across call chains without requiring manual graph construction
More complete than static analysis tools like Cflow because IDA's xref tracking includes data references and indirect calls; faster than dynamic tracing for large binaries
decompilation output retrieval
Medium confidenceRetrieves IDA's Hex-Rays decompiler output (pseudocode) for a function, translating low-level assembly into higher-level C-like code with variable recovery, type inference, and control flow reconstruction. Integrates with IDA's decompiler plugin to produce human-readable source approximations.
Integrates Hex-Rays decompiler output directly into MCP, allowing LLMs to reason about high-level pseudocode rather than assembly, with type recovery and variable tracking
Hex-Rays decompilation is industry-leading for accuracy; Ghidra's decompiler is free but produces lower-quality output for complex code
binary metadata and segment extraction
Medium confidenceExtracts structured metadata from the binary including segment layout, section information, entry points, imports, exports, and relocation tables. Parses PE/ELF/Mach-O headers through IDA's analysis to provide a complete binary blueprint for analysis planning.
Aggregates IDA's parsed binary headers and analysis into structured metadata, providing a single source of truth for binary layout without manual header parsing
More complete than tools like readelf/objdump because IDA's analysis resolves symbolic references and handles multiple binary formats uniformly
string and constant reference discovery
Medium confidenceScans the binary for embedded strings, numeric constants, and data references, mapping them to their locations and associated functions. Uses IDA's string analysis to identify hardcoded values, error messages, and configuration data that may indicate functionality or vulnerabilities.
Leverages IDA's built-in string scanner to identify and contextualize embedded strings with function references, enabling LLMs to use strings as semantic anchors for code understanding
More accurate than naive regex scanning because IDA's string detection handles encoding, alignment, and false positives; faster than manual binary grepping
type and structure inference
Medium confidenceQueries IDA's type inference engine to recover data structure layouts, function signatures, and variable types from binary analysis. Reconstructs struct definitions, union layouts, and function prototypes based on memory access patterns and calling convention analysis.
Exposes IDA's type inference engine to MCP clients, allowing LLMs to reason about recovered types and structures without manual reverse engineering
IDA's type inference is more mature than Ghidra's for complex calling conventions; Radare2 lacks equivalent type recovery capabilities
instruction-level semantic analysis
Medium confidenceProvides detailed analysis of individual instructions including operand types, memory access patterns, register usage, and semantic meaning. Interprets instruction sequences to identify common patterns (prologue/epilogue, loops, conditionals) and extract control flow semantics.
Provides instruction-level semantic analysis through IDA's processor modules, enabling LLMs to reason about low-level code behavior without requiring manual ISA knowledge
More accurate than generic disassemblers because IDA's processor modules understand architecture-specific semantics; Capstone provides similar disassembly but lacks semantic context
automated analysis task orchestration
Medium confidenceCoordinates multi-step reverse engineering workflows by chaining analysis commands (disassembly → xref traversal → decompilation → type recovery) and managing IDA's analysis state. Implements task sequencing to optimize analysis order and cache intermediate results for efficiency.
Implements MCP-based workflow orchestration for IDA, allowing Claude to coordinate multi-step analysis tasks without requiring custom scripting
Simpler than writing IDA Python scripts for complex workflows; more flexible than hardcoded analysis tools
patch and modification tracking
Medium confidenceTracks changes to binary analysis (renamed functions, added comments, modified types) and can export modified binaries or analysis databases. Maintains audit trails of analysis modifications for reproducibility and collaboration.
Enables LLM-driven annotation and modification of IDA databases through MCP, allowing Claude to document findings directly in the analysis database
More integrated than external annotation tools because changes persist in IDA's native database; enables collaborative analysis workflows
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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reversecore_mcp
This PR adds Reversecore MCP, a Python-based reverse engineering server, to the community servers list. It integrates industry-standard tools like Radare2, Ghidra, YARA, and Capstone to enable secure binary analysis via LLMs.
Best For
- ✓security researchers automating malware analysis
- ✓reverse engineers building AI-assisted analysis pipelines
- ✓teams integrating binary analysis into LLM-driven threat intelligence workflows
- ✓malware analysts examining suspicious function implementations
- ✓vulnerability researchers tracing exploit chains through function calls
- ✓reverse engineers documenting API behavior
- ✓security auditors mapping attack surfaces
- ✓exploit developers tracing control flow to gadgets
Known Limitations
- ⚠Requires IDA Pro license and local installation — cannot work with free IDA Freeware
- ⚠MCP server must run on same machine as IDA Pro or have network access to IDA instance
- ⚠Analysis depth limited by IDA's analysis capabilities; complex obfuscation may require manual intervention
- ⚠No built-in caching of analysis results — each query re-executes IDA operations
- ⚠Disassembly accuracy depends on IDA's analysis quality — indirect jumps may be unresolved
- ⚠Large functions (>10K instructions) may return verbose output requiring LLM summarization
Requirements
Input / Output
UnfragileRank
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** - MCP Server for automated reverse engineering with IDA Pro.
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