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remnux-mcp-server MCP Server

REMnux/remnux-mcp-server

Score: 68.5 ↓ 4.5% Rank #4380 Agent Framework
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MCP server for using the REMnux malware analysis toolkit via AI assistants

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Overview

REMnux/remnux-mcp-server is a TypeScript MCP server licensed under GPL-3.0. MCP server for using the REMnux malware analysis toolkit via AI assistants

Ranked #4380 out of 24846 indexed tools.

Ecosystem

TypeScript GPL-3.0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 126

126 stars → growing community

Freshness 25% 20d ago

Last commit 20d ago → recently updated

Issue Health 25% 50%

3/6 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 20
Description Good
License GPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

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From the README

# remnux-mcp-server

MCP server for using the [REMnux](https://REMnux.org) malware analysis toolkit via AI assistants.

## Overview

This server enables AI assistants (Claude Code, OpenCode, Cursor, etc.) to execute malware analysis tools on a REMnux system. It supports three deployment scenarios:

1. **AI tool on your machine, REMnux as Docker/VM** — MCP server runs on your machine, reaches into REMnux over Docker exec or SSH
2. **AI tool and MCP server both on REMnux** — everything runs locally on the same REMnux system (simplest setup)
3. **AI tool on your machine, MCP server on REMnux** — MCP server runs inside REMnux, your AI tool connects over HTTP

Beyond raw command execution, the server encodes malware analysis domain expertise:

- Recommends the right tools for each file type (`suggest_tools`) and retrieves usage flags for any installed tool (`get_tool_help`)
- Runs appropriate tool chains automatically (`analyze_file`) with structured output and IOC extraction
- Uses neutral
Read full README on GitHub →

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