# Memory Forensics MCP Server

> Use this tool when you need to analyze memory dumps for digital forensics investigations, solving problems such as malware detection and network forensics. It takes memory dump files as input and outputs detailed analysis reports, including process analysis, timeline generation, and anomaly detection. Ideal for use in cybersecurity and incident response contexts, it integrates with large language models like Claude and Llama for enhanced analysis capabilities.

Canonical page: https://skillsregistry.net/skills/robbgatica-memory-lane  
JSON: https://api.skillsregistry.net/v1/skills/robbgatica-memory-lane

## Description

AI-powered memory dump analysis using Volatility 3 for digital forensics investigations. Enables process analysis, malware detection, network forensics, timeline generation, and anomaly detection with support for Claude, Llama, and other LLMs.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k2i29m3npa)
- **Repository:** <https://github.com/robbgatica/memory-lane>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "robbgatica-memory-lane"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/robbgatica-memory-lane` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/robbgatica-memory-lane/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt