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Reversecore MCP

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View Repository

Security-first MCP server for reverse engineering, malware analysis, forensics, and SAST.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "reversecore-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "reversecore-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Reversecore MCP

Reversecore MCP

AI-Powered Reverse Engineering & Security Analysis via Model Context Protocol

An MCP server that gives AI assistants like Claude and Cursor the ability to perform reverse engineering, malware analysis, vulnerability research, digital forensics, and source code auditing through natural language.


CI/CD Python License: MIT Tests Coverage FastMCP PyPI Docker OpenSSF Scorecard HVTrust

Watch the Demo SafeSkill Verified


Table of Contents

  • What is Reversecore MCP?
  • Architecture
  • Tool Catalog (120 Tools)
  • Guided Analysis Prompts (22 Modes)
  • MCP Resources (11 URIs)
  • Quick Start
  • Connect to Your AI Client
  • Configuration
  • Security Model
  • Development
  • CI/CD Pipeline
  • Docker Build Architecture
  • System Requirements
  • Project Structure
  • Error Handling
  • Adding New Tools
  • Contributing
  • Documentation
  • License

What is Reversecore MCP?

Reversecore MCP is a Model Context Protocol server that wraps 120 analysis tools into a single interface that AI assistants can call through natural language.

Instead of learning the command-line syntax for a dozen different tools, you describe what you want:

Code
"Decompile the main function of this malware sample, extract all network IOCs,
 map the behavior to MITRE ATT&CK, and generate a triage report."

The AI assistant breaks this into tool calls:

Code
r2_decompile("sample.exe", "main")
  β†’ extract_iocs("sample.exe")
    β†’ add_mitre_technique(technique_id="T1071.001", ...)
      β†’ create_analysis_report(template_type="quick_triage")

Each tool returns a structured ToolResult (either ToolSuccess or ToolError) with typed data that the AI can reason about, chain into follow-up queries, or render for the user.

What it covers

DomainWhat you can do
Static analysisDisassembly, decompilation (r2ghidra), binary parsing (LIEF), packer detection (DIE), capability detection (CAPA), string extraction, firmware scanning (binwalk)
Dynamic & symbolicESIL emulation, angr symbolic execution, taint analysis, fuzzing harness generation
Malware analysisIOC extraction, YARA scanning, dormant backdoor detection, adaptive vaccine generation, autonomous vulnerability hunting
Vulnerability researchDangerous API detection, ROP gadget discovery, heap exploit analysis, crash triage, PoC generation
Digital forensicsMemory forensics (Volatility3), PCAP analysis (Scapy), disk forensics (Sleuth Kit), artifact correlation
Source code auditPython AST scanning, C/C++ regex pattern scanning
ReportingSession-based reports with MITRE ATT&CK mapping, SIGMA rule generation, VEX reports, email delivery

Architecture

server.ts
AI Client (Claude / Cursor / any MCP-compatible client)
        β”‚  MCP Protocol (stdio or HTTP/SSE)
        β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                   FastMCP 3.4.4 Server               β”‚
β”‚          120 registered tools Β· Fully async          β”‚
β”‚                  Python 3.10–3.12                    β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚   Guided Prompts   β”‚  Dynamic Resources              β”‚
β”‚  (22 analysis      β”‚  (11 URI-based: per-binary      β”‚
β”‚   modes)           β”‚   strings, IOCs, ASM, CFG, …)   β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                  Core Infrastructure                 β”‚
β”‚  Config Β· Security Β· Validators Β· Exceptions (17)    β”‚
β”‚  R2 Pool Β· Metrics Β· Memory (SQLite) Β· Task Queue    β”‚
β”‚  MITRE Mapper Β· Evidence Engine Β· Resilience Layer   β”‚
β”‚  Arch Registry (x86/ARM/MIPS/RISC-V/PPC)            β”‚
β”‚  Result Cache (SHA256) Β· Analysis Cache (Redis+SQL)  β”‚
β”‚  SAST (Python AST + C/C++ Regex) Β· Plugin System     β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚                 Analysis Engines                     β”‚
β”‚  Radare2 6.0.4     β”‚  YARA 4.3.1 Β· LIEF Β· Capstone  β”‚
β”‚  r2ghidra           β”‚  CAPA Β· angr Β· Qiling          β”‚
β”‚  Volatility3 Β· Scapyβ”‚ DIE Β· Binwalk Β· Sleuth Kit    β”‚
β”‚  pwntools Β· ROPgadgetβ”‚ Keystone (assembler)          β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Core Infrastructure (37 modules)

The reversecore_mcp/core/ directory contains the shared infrastructure that all tools build on:

ModulePurpose
config.pyPydantic BaseSettings with 34+ environment variables
security.pyInput sanitization, command argument validation
validators.pyFile and binary path validation with TOCTOU mitigation, symlink resolution
r2_pool.pyThread-safe Radare2 connection pool with configurable size
r2_helpers.pyStructured Radare2 output parsing
metrics.pyPer-tool execution times, call counts, error rates, cache statistics
memory.pyAsync SQLite-backed AI memory store for persisting analysis findings across sessions
mitre_mapper.pyMITRE ATT&CK technique ID mapping engine
evidence.pyEvidence classification system: OBSERVED, INFERRED, POSSIBLE
resilience.pyRetry, circuit-breaker, and timeout decorator patterns
task_queue.pyBackground task queue via Redis + arq
extension_registry.pyPlugin registration and lifecycle management
arch_registry.pyMulti-architecture mapping (x86, x86_64, ARM32, ARM64, MIPS, RISC-V, PPC β†’ r2 arch/bits/registers)
result_cache.pySHA256-based tool result caching decorator (@cache_tool_result)
analysis_cache.pyMulti-level decompilation cache (L1: Redis, L2: SQLite)
result.pyToolSuccess / ToolError Pydantic models
exceptions.py17 exception classes with RCMCP-E* error codes
decorators.py@log_execution, @track_metrics
error_handling.py@handle_tool_errors decorator
error_formatting.pyStructured error response formatting
execution.pySafe subprocess execution with timeout and output limits
command_spec.pyCommand specification for subprocess calls
loader.pyDynamic tool module loader
plugin.pyPlugin base class
extension.pyExtension base class
container.pyContainer/sandbox execution support
audit.pyAudit logging
binary_cache.pyBinary file caching
json_utils.pyJSON serialization via orjson (3-5x faster than stdlib json)
logging_config.pyLoguru-based structured logging
report_generator.pyReport rendering engine (Markdown, PDF via xhtml2pdf)
resource_manager.pyMCP resource lifecycle management
sast/python_ast_scanner.pyPython AST-based vulnerability scanner
sast/regex_scanner.pyC/C++ regex-based vulnerability scanner
sast/rule_manager.pySAST rule loading and management

Tool Catalog (120 Tools)

Every tool returns a structured ToolResult β€” either a ToolSuccess with typed data or a ToolError with an RCMCP-E* error code. Tools are organized into 8 plugins.


πŸ” Static Analysis Plugin (24 tools)

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Reversecore MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "reversecore-mcp": { "command": "npx", "args": ["-y", "Reversecore MCP"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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